Tạp chí của Tổng hội Xây dựng Việt Nam
Structural reliability analysis based on limit state functions and the first-order second-moment (FOSM) method
This paper presents the theoretical framework of reliability-based structural design, focusing on the concepts of limit states and limit state functions. The relationship between resistance and load effects is modeled using random variables, enabling evaluation of the probability of failure. Due to the complexity of directly calculating failure probability, the reliability index β is adopted as a practical measure of structural safety. The First-Order Second-Moment (FOSM) method is introduced as an efficient approach for evaluating the reliability index. For linear limit state functions, β can be directly determined from the mean values and standard deviations of the random variables. For nonlinear cases, the limit state function is linearized using a first-order Taylor series expansion at the mean values, allowing an approximate evaluation of β. Illustrative examples demonstrate the method's applicability to both steel and reinforced concrete structures. The results indicate that the FOSM method is a simple and effective tool for reliability analysis in structural engineering, and it provides a fundamental basis for more advanced reliability-based design methods.
A study of changes in the relationship between discharge and water levels in the Red River in the Hanoi area
Nowadays, our understanding of hydrological processes has made significant advances. The relationship between discharge (Q) and water level (H) changes when the riverbed erodes. Currently, the construction of hydraulic and transportation infrastructures for water resource exploitation has influenced most natural rivers and streams to varying degrees. The impacts of climate change and riverbed sand and gravel mining are also among the causes of changes in the Q~H relationship. Water levels along the Red river in the Hanoi area are currently declining, despite no significant change in discharge, while the river channel continues to deform and degrade. Variations in river water levels present significant challenges to scientists, as the channel is in a state of continuous change due to multiple factors, including sediment imbalance. These variations partly explain riverbank erosion incidents, which have a serious impact on infrastructure and socio-economic activities along both riverbanks. This study analysed changes in the Q~H relationship at the Son Tay and Ha Noi hydrological stations using a numericcal modelling approach. The results show that the Q~H relationship in 1971 was less scattered than in 1996, when it was more sensitive to discharge fluctuations. Water levels increased more rapidly as Q increased. A more pronounced looped relationship was observed, reflecting the dynamic impact of flood flows on channel morphology.
Topology optimization of structure using a periodic unit cell
The paper presents a topology optimization model for structures composed of periodically repeated unit cells. The optimization approach employed is the isotropic penalization method (SIMP). The model is applied to a two-dimensional simply supported beam subjected to a concentrated load at midspan. Four simulation cases are considered, including one non-periodic optimization case and three cases in which the beam is optimized using four unit cells arranged in different configurations. The results show that the non-periodic optimized structure achieves the highest stiffness. Additionally, the orientation of the unit cells leads to different stiffness performances.
Barriers to digital transformation in construction supply chains: A Delphi study
This study is carried out to identify barriers and assess their impacts on digital transformation in construction supply chains. A Delphi study with four phases including setting up the panel, exploring the barriers, reaching an understanding, and quantifying the impact is performed, with data collected from 24 experts in Vietnam. Thirty-one specific barriers belonging to six different groups have been identified. These six groups include strategy, technology, human resources, finance, stakeholders, and data security and privacy. Furthermore, the five groups namely strategy, technology, human resources, finance, and stakeholders generally have high impacts while the remaining group (i.e. data security and privacy) have moderate impacts on digital transformation.
Application of large language models in construction methods management
In the context of digital transformation, the preparation, inspection, and management of construction methods still mainly depend on individual experience, which can lead to errors and inconsistencies. Therefore, this research aims to explore the potential of applying Large Language Models (LLMs) to enhance the efficiency of construction method management in the construction industry. The study examines core functions of LLMs, such as natural language processing, information synthesis, decision support, and automation of technical documents. Based on this, the paper proposes a model for applying LLMs in key stages, including: (1) supporting the preparation of construction methods; (2) reviewing technical and safety content; (3) managing knowledge and standards; and (4) assisting with training and capacity building for engineers. The research findings show that applying LLMs reduces time, improves the accuracy of construction methods, and effectively supports risk and occupational safety management. However, the paper also highlights challenges such as data reliability, the need for expert verification, and information security issues. Therefore, the study proposes a strategy for deploying LLMs in construction management that integrates technology and human expertise to drive digital transformation and enhance the quality of construction project management in Vietnam.
Theoretical modeling for predicting the axial compressive capacity of reinforced concrete columns with corroded reinforcement strengthened by carbon textile reinforced concrete
Nowadays, Textile Reinforced Concrete (TRC) is one of the effective solutions used to strengthen reinforced concrete (RC) structures whose load-carrying capacity has been reduced due to corrosion, especially for primary structural members such as columns, beams, and slabs. In Vietnam, studies on corroded RC columns strengthened with TRC are still limited. This paper presents a theoretical model for predicting the axial compressive load-carrying capacity of corroded RC columns strengthened with carbon fiber TRC, taking into account the effects of steel corrosion. The calculated results from the theoretical model are validated against experimental results obtained from concentric axial compression tests on column specimens. The specimen groups include: uncorroded control RC columns, corroded RC columns without strengthening, and corroded RC columns strengthened with carbon fiber TRC. The theoretical model shows good agreement with the experimental results, with a relatively small deviation (less than 5%), indicating the high reliability of the proposed model.
Design of the isotopic reinforced concrete slabs with triangular plans using limit equilibrium method
Reinforced concrete slabs are typically analyzed as four-edge supported rectangular plates subjected to either concentrated or uniformly distributed loads. However, in practice, there are also cases where slabs are supported with a triangular plan geometry. This type of slab has received relatively limited attention in existing studies. This paper presents the analysis of a triangular reinforced concrete slab subjected to uniformly distributed loading using the limit equilibrium method.
Applying IoT technology to monitor the displacement of hydropower dam bodies: International experience and development directions in Vietnam
Monitoring dam displacement is a crucial task in ensuring the safety of hydropower projects against the impacts of hydrology, weather, and material aging. This paper presents a comprehensive and in-depth study on the application of Internet of Things (IoT) technology in monitoring hydropower dam displacement. It analyzes typical IoT system architectures and specialized sensors, while also evaluating successful implementation experiences in countries such as Brazil, the United States, China, and Colombia. Based on this, the paper analyzes the current state of digital technology application in reservoir management in Vietnam, highlighting initial achievements, existing challenges, and proposing future development directions such as integrating artificial intelligence (AI), digital twin models, and establishing a unified standards framework. Diagrams and graphs are included to visually illustrate the system architecture, compare effectiveness, and outline development trends. Research results show that IoT has been creating a strong shift from periodic monitoring to continuous, real-time monitoring, significantly improving the capacity for assessing the safety of structures and should be promoted for application in Vietnam.
Investing in the development of smart building projects in hanoi under the impact of BIM and ai in the context of digital transformation
The Ministry of Construction issued a plan to implement the digital transformation project in construction, management, and exploitation of construction infrastructure in Decision No. 369/QD-BXD dated March 19, 2026. The construction industry in Vietnam in general, and Hanoi in particular, is gradually undergoing comprehensive reforms in management, investment, and operation towards a smart, modern, sustainable, and efficient direction. To implement this decision, Hanoi is gradually transforming digitally by applying advanced technologies such as Building Information Modeling (BIM) and Artificial Intelligence (AI) to improve investment efficiency and develop green and smart construction projects. This article analyzes the role of BIM and AI in the investment and development process of smart construction projects. It also contributes to optimizing design, reducing costs, controlling progress, and improving quality in the investment and development of smart urban construction projects in Hanoi.
Some test results using rice husk charcoal as aggregate for foam concrete
Rice husk charcoal, when burned under natural conditions, has a SiO2 content of approximately 40%. Its activity level only reaches about 70% at 7 days old. When rice husk charcoal is mixed into foamed concrete, it helps reduce the bulk density, water absorption, and shrinkage of the foamed concrete. If approximately 54 kg of rice husk charcoal is added to 1m³ of foamed concrete, the shrinkage can be reduced by about 17% compared to the original. The above level of rice husk does not reduce the compressive and flexural strength of foamed concrete with a strength grade B5.
The national soil mechanics olympiad and its role in the field of geotechnical engineering
The Soil Mechanics is one of eight subject mechanics which is organised in the National OLYMPIC competition mechanics every year for students of the technological Universities. The first exam of soil mechanics began in 1997, it has been held 25 examinations from 1997 to the present, receiving enthusiastic and support from universities and a large number of students. The national soil mechanics competion is beneficial for both learner and supervisors, raising professional standards and ensuring teaching consistency nationwide. This article provides a brief history of Soil Mechanics subject and its role in the field of Geotechnical Engineering, as well as summarizing some sheared experiences in teaching, organizing, and evaluating in the National Soil Mechanics Olimpiad.
A study on the current situation and solutions for green logistics development in Vietnam
This research has comprehensively explored green solutions for sustainable logistics in Vietnam, highlighting the critical need to address environmental challenges in the logistics sector. The study revealed that traditional logistics activities, particularly road transport, contribute significantly to Vietnam's greenhouse gas emissions, with road transport accounting for 85% of the sector’s CO2 emissions, totaling over 50 million tons annually. Maritime, rail, and air transport also pose environmental challenges, including water pollution, outdated infrastructure, and high logistics costs (16.8%-20% of GDP). However, opportunities for greener logistics exist through modernizing infrastructure, adopting electric vehicles, optimizing routes with advanced technologies, and leveraging government policies like Decision 876/QD-TTg for green energy transition by 2050. Successful global and local examples, such as Toyota’s green supply chain and Vinamilk’s sustainable practices, demonstrate the feasibility of reducing emissions while enhancing efficiency. Proposed solutions include promoting multimodal transport, improving IT infrastructure, and implementing supportive policies to foster green logistics.
Research on structural health monitoring of heritage buildings via wireless sensor network from design to operation
In fact, the number of continuous monitoring system applications in civil engineering projects has grown significantly. However, these applications have primarily focused on large-scale structures, such as bridges, viaducts, or offshore platforms, and very few cases of heritage building monitoring have been recorded in scientific literature.Considering that natural disasters pose a higher risk to heritage structures- not only from catastrophes but also from the natural degradation of materials-the primary objective of this research is to contribute to the implementation of Structural Health Monitoring (SHM) systems for heritage buildings. This is achieved by outlining the initial steps required to optimize an SHM system, followed by a description of the data processing procedures for a long-term monitoring system. To serve this objective, two practical case studies were examined.This study provides an important contribution to the conservation and restoration of heritage structures, while promoting the early collection of damage data, which can be utilized as a method to mitigate the risk of collapse and implement maintenance techniques for heritage sites
Application of building information modeling (BIM) in optimizing construction scheduling and progress control of construction projects
Schedule control plays a decisive role in the success of construction projects, particularly in the context of increasing project scale, complexity, and the need for multi-party coordination. This study focuses on assessing the extent and effectiveness of Building Information Modeling (BIM) applications in optimizing construction scheduling and progress monitoring in Vietnam. Based on a qualitative analysis of secondary data, the research synthesizes national standards, legal regulations, and practical implementation experiences from both domestic and international projects. The findings indicate that BIM 4D not only supports the visualization of construction sequences but also improves accuracy in tracking and comparing actual progress against planned schedules, thereby enabling early detection and mitigation of potential delays. However, limitations in human resources, technological infrastructure, and standardized processes remain significant barriers to fully realizing its benefits. Accordingly, the study proposes a set of solutions to strengthen BIM implementation capacity in schedule management, aiming to enhance transparency, control, and management efficiency throughout the entire lifecycle of construction projects.
Research to identify waste factors in high-rise building construction
This paper studies and proposes groups of factors causing waste in the construction of high-rise buildings. Through surveying, collecting, analyzing, and processing data, the impact of these waste factors on the production process is determined.
Impact of green real estate projects on green economic development: International experiences and lessons for Vietnam
In the context of climate change and the increasing demand for sustainable development, the green economic model is becoming a crucial direction in the development strategies of many countries. The construction and real estate sectors are among the areas that consume a lot of energy and emit greenhouse gases; therefore, developing green real estate projects is considered a key solution to promote the transition to a green economy. This article analyzes international experiences in green real estate development and assesses the impact of these projects on green economic development. From this, it draws some lessons for Vietnam to promote green real estate development in the future, including improving the policy framework, developing green finance, promoting technological innovation, and raising market awareness, with the expectation of contributing to the sustainable development of the green economy in Vietnam.
Risk identification and mitigation strategies for real estate investment in Vietnam
Risk is inherent in every industry, and real estate is no exception. Due to the capital-intensive nature of real estate investment, identifying and mitigating risks must be prioritized before committing capital. This study identifies key risk factors associated with real estate investment and proposes appropriate risk mitigation strategies in the Vietnamese context. These findings help investors adopt a proactive approach to risk management, make informed investment decisions, and enhance investment efficiency. Keywords: Real estate; Real estate investment; Investment risk; Risk mitigation.
Logistics activities in the supply of raw materials for civil construction enterprises: Experiences from some localities and lessons for Hanoi
Logistics plays a crucial role in the supply chain of materials for civil construction businesses, directly impacting costs, schedules, and construction efficiency. In the context of increasing urban construction demand, both in quantity and quality, organizing an efficient logistics system has become a key factor in enhancing the competitiveness of construction businesses. This paper studies the experience of organizing logistics activities in the supply of materials by civil construction businesses in several representative localities of Vietnam, drawing important lessons to improve the efficiency of logistics operations in the supply of materials for civil construction businesses in Hanoi.
Control of the vibration acceleration of simple and continuous railway bridge surfaces with average span lengths under the effect of high-speed trains
Controlling the maximum acceleration (amax) of the bridge deck under the influence of a train is considered one of the important criteria determining the safety and operational stability of high-speed railway bridge structures. Eurocodes or TCVN 13594:2022 standards specify the exact values of amax for the case of a spherical surface with/ or without ballast, however, there are no specific instructions on how to determine this parameter. Therefore, in cases where the design standard requires dynamic model analysis of the bridge structure, the maximum value amax will be obtained from calculations using specialized structural analysis software. In cases where dynamic structural analysis of the bridge is not required, determining the maximum value of amax will be difficult. This article presents the results of using a simplified method to evaluate the amax value for several types of simple and continuous bridge structures with medium span lengths commonly used on high-speed railways, aiming to contribute to bridge design on high-speed railway lines in Vietnam.
Balancing time and cost in the construction of public investment projects using multi-objective optimization algorithms
In Vietnam today, public investment plays a crucial role in driving growth and will remain the primary driver for achieving double-digit growth targets in the 2026-2030 period. For construction projects using public investment capital, balancing construction time and investment costs is becoming a critical issue in project management, rather than focusing solely on cost as in the past. These two objectives have a complex trade-off relationship, requiring effective optimization methods from the planning stage. This study proposes a new approach based on the multi-objective symbiotic search optimization (MOSOS) algorithm to simultaneously optimize time and cost in public investment projects. The model is constructed to determine the optimal Pareto solution set, clearly reflecting the trade-off relationship between the two objectives. The proposed method is applied to a real construction project and compared with common multi-objective evolution algorithms, including swarm multi-objective and non-dominant genetic sorting algorithms. Experimental results show that MOSOS is capable of efficiently searching and generating high-quality Pareto solution sets, contributing to improved time-cost optimization in public investment project management.
Effect of soil-structure interaction on the peak acceleration of multi-story buildings under wind loads
This paper investigates the influence of soil-structure interaction (SSI) on the peak acceleration of multi-story buildings under wind loading, through consideration of the interaction among the soil foundation, pile-raft foundation system, and the superstructure. Numerical analysis results indicate that soil stiffness, expressed through the shear wave velocity Vs, is the most influential parameter on the peak acceleration of the structure; the acceleration decreases significantly as Vs increases and asymptotically approaches the value corresponding to the fixed-base condition. The SSI effect is most pronounced in soft soil conditions, where neglecting this interaction may lead to inaccurate estimates of the dynamic response of multi-story structures. The pile spacing in the pile-raft foundation system has a significant influence on the peak acceleration under soft soil conditions, while the pile slenderness ratio has a minor effect on the peak acceleration under both soft and stiff soil conditions. The raft thickness plays a negligible role in the peak acceleration within the investigated range. The findings of this study may serve as a reference for estimating peak acceleration and for the practical design of multi-story buildings subjected to wind loading under various soil conditions.
Standardization of construction processes for building and finishing works in civil engineering projects
In the context of civil construction projects increasingly requiring higher standards of quality, schedule performance, and risk control, the standardization of construction procedures has become a critical factor in enhancing on-site management efficiency. This study focuses on developing a standardized construction process system for common finishing works, including brickwork, plastering, waterproofing, floor screeding, tiling, wall cladding, and gypsum ceiling installation. The research methodology is based on analyzing existing practical procedures, standardizing construction steps, identifying quality control checkpoints, and integrating them into a unified process framework. The results of the study are a detailed set of standardized procedures that can be directly applied to construction management and on-site inspection and acceptance.
Utilization of seawater and seasand in concrete structures, current situation, experimentnl evidence and development prospects
Concrete is the most widely used construction material today due to its versatility, durability, and cost-effectiveness. Rapid urbanization and infrastructure development—particularly in Asia-have significantly increased the demand for concrete, thereby placing substantial pressure on natural resources and the environment. In conventional concrete, river sand and freshwater are essential components. However, prolonged river sand mining and the growing scarcity of freshwater caused by climate change and saltwater intrusion have led to serious environmental and socio-economic consequences. In this context, the search for sustainable alternative materials has become an urgent necessity. Sea sand has been utilized in several countries, such as the United Kingdom, Japan, and China, where relatively comprehensive standards and quality control procedures have been established [1–3]. In Vietnam, facing a severe depletion of river sand and freshwater resources, the country’s coastline-extending over 3,260km-offers abundant sea sand and seawater that could serve as promising resources for the development of seawater sea-sand concrete, particularly for coastal and island infrastructure projects. Nevertheless, the marine environment, characterized by high concentrations of chloride and sulfate ions, can accelerate reinforcement corrosion and compromise long-term structural durability. Although desalination of sea sand using freshwater can mitigate these risks, this solution increases construction costs and further consumes scarce freshwater resources. In recent years, numerous studies have evaluated the feasibility of directly using sea sand and seawater in concrete. However, the findings remain fragmented and do not fully reflect the tropical monsoon climate and aggressive coastal exposure conditions typical of Vietnam. Therefore, this paper presents a systematic review of research on seawater and sea-sand concrete, focusing on mechanical properties, strength development, durability performance, reinforcement corrosion behavior, and the potential application of fiber-reinforced polymer (FRP) reinforcement systems. The objective is to identify existing research gaps and propose future development directions to support sustainable coastal and island infrastructure construction in Vietnam.
Predicting the flexural behavior of reinforced concrete beams with carbon fiber-reinforced polymer and recycled aggregates using KAN
The integration of Recycled Concrete Aggregates (RCA) and Carbon Fiber-Reinforced Polymer (CFRP) in reinforced concrete beams offers a sustainable structural solution. However, the non-linear interactions between heterogeneous materials – including varying recycled aggregate ratios, silica fume, and fly ash– pose significant modeling challenges for traditional computational methods. This study proposes a novel predictive framework based on Kolmogorov-Arnold Networks (KANs) to estimate the full load-displacement response of these composite beams. Unlike conventional Multi-Layer Perceptrons (MLP), KANs employ learnable B-spline activation functions on edges, offering superior approximation of complex constitutive laws. Utilizing an experimental dataset of 4.851 samples, the model architecture – specifically grid size and spline order– was optimized via the Tree-structured Parzen Estimator (TPE) algorithm. The results demonstrate that the optimized KAN model achieves a Coefficient of Determination (R²) of 0,974 on independent test data, reducing the Mean Squared Error (MSE) by 80,9% compared to the baseline configuration. This study confirms that KANs provide a robust, high-precision alternative to standard "black-box" models for structural reliability assessment in sustainable infrastructure.
Peak wind induced acceleration assessment of tall buildings according to ASCE7-22
This paper presents a procedure for calculating wind-induced acceleration responses of tall buildings in accordance with ASCE 7-22[1]. Based on this approach, acceleration limits for serviceability and occupant comfort are evaluated using the criteria proposed in ISO 10137:2007 [2] and the design guidelines provided by ASCE (2019) [3]. The proposed methodology is applied to assess wind-induced comfort for a 23-story reinforced concrete building located in Hanoi, Vietnam. The results indicate that the calculated acceleration responses satisfy the prescribed comfort limits, highlighting the importance of considering wind-induced acceleration criteria in the design of tall buildings in Vietnam.
Advanced technology application for smart construction management for the low altitude economy in Vietnam
The Low Altitude Economy (LAE) has emerged as a new development paradigm, driven by the application of Unmanned Aerial Vehicles (UAVs), intelligent sensors, and digital platforms across sectors, including construction. In Vietnam, the integration of advanced technologies into LAE-supported construction management remains at an early stage and has not been fully exploited. This study aims to investigate the potential application of advanced technologies, including UAVs, artificial intelligence (AI), the Internet of Things (IoT), and digital twins, in smart construction management within the context of the Low Altitude Economy. The research methodology includes a thorough literature review, an expert survey, and an analysis of practical implementation in selected construction projects in Vietnam. The findings show that LAE-related technologies greatly improve construction monitoring, progress control, quality management, and occupational safety, while enabling timely, well-informed decision-making. Based on these results, a practical application framework for smart construction management tailored to the Vietnamese context is proposed. This framework aims to support digital transformation and encourage sustainable development in the construction industry.
Determining the construction investment costs of public investment projects at the feasibility study preparation and appraisal stage during the project preparation phase using an optimal machine learning model.
The accuracy of determining the construction investment costs of public-funded projects at the feasibility study stage plays a crucial role in the decision-making process for project approval, implementation of subsequent steps, and budget management; especially in the context of the 2025 Construction Law (effective from July 1, 2026), which abolishes the regulation on the appraisal of construction design following the basic design stage by specialized construction agencies (including the appraisal of construction cost estimates). However, determining costs at the initial stage often faces many difficulties due to limited information and high uncertainty. This study proposes a hybrid machine learning model combining least-squares support vector regression (LSSVR) and the Cheetah optimization algorithm using cost data from similar projects and works already implemented to improve the accuracy in determining the construction investment costs of public-funded projects. In this study, the Cheetah optimizer was used to optimize the hyperparameters of the LSSVR model, thereby improving the model's generalization ability and stability. The research dataset includes 50 public investment projects collected in Ho Chi Minh City, reflecting the practical characteristics of construction projects in urban conditions. The effectiveness of the proposed model was evaluated and compared with common methods including support vector machines (SVM) and artificial neural networks (ANNs). The research results showed that the CO–LSSVR model outperformed the comparison models, achieving high prediction accuracy with an average of 49,38, average MAE of 38,15, average MAPE of 11,92%, and R² of 0,883. These results confirm the effectiveness of combining metaheuristic optimization algorithms with machine learning models in estimating construction investment costs during the feasibility study phase of a project. The proposed model provides investment decision-makers, government agencies, and investors with an effective tool to improve the reliability of cost estimates and support decision-making in public investment projects.
Cross-laminated timber (CLT) in modern construction: Material basis, manufacturing technologies and applications
This paper presents an overview of cross-laminated timber (CLT) in modern construction, focusing on the material basis, manufacturing technologies, and practical applications. The paper clarifies the relationship between the cross-layered structure of CLT, the properties of the base wood and adhesive systems, and the fabrication and quality control processes, as well as the mechanical and geometric characteristics of CLT panels. Based on a synthesis of key references and representative studies, the paper discusses the role of CLT in load-bearing panel systems, prefabricated construction, and multi-story buildings, highlighting the advantages of modular fabrication, material-use efficiency, and the potential for scaling up applications, while also considering environmental aspects such as the efficient use of timber resources and the contribution of CLT systems to sustainable construction.
Application of digital twin in the management of urban technical infrastructure systems
Digital Twin is regarded as a key tool in the management of urban technical infrastructure systems. This dynamic digital model reflects real-time operational states while supporting analysis and forecasting to enhance management effectiveness. The study clarifies theoretical foundations and core data principles, and examines applications in five critical domains of urban technical infrastructure: transportation, water supply and drainage, underground facilities, energy, and integrated multi-infrastructure management. Findings indicate that Digital Twin enables continuous monitoring, reduces operational risks, optimizes maintenance, improves inter-sectoral coordination, and provides a basis for performance evaluation. The analysis also identifies major challenges related to data, security, resources, and institutional frameworks. Accordingly, the study proposes solutions for standardization, data protection, phased investment, and capacity building to ensure sustainable implementation in Vietnamese cities.
Lessons learned from cost control in construction projects during a pandemic
The COVID-19 pandemic has posed many serious challenges for controlling costs in construction projects, including supply chain disruptions, fluctuating material prices, labor shortages, and increased expenses from pandemic prevention measures in Vietnam. These factors raise the risk of cost overruns, which negatively affect project progress and investment efficiency. In this situation, summarizing lessons learned in cost control is crucial to improve adaptability and risk management in construction projects. This study aims to analyze and organize lessons learned on cost control during the pandemic by reviewing existing research, expert opinion surveys, and project implementation practices. The findings highlight important lessons, including stabilizing the supply chain for materials and labor, encouraging the use of digital technology in construction and cost management, and maintaining flexibility in contract management and contingency planning. These insights provide a scientific and practical foundation for improving cost control efficiency and supporting the sustainable development of construction projects in similar crisis situations.