Journal of Architectural Research and Development

The Practice of Biophilic Design in Indoor Space: Taking the Office as an Example

2025-12-15T16:46:34+08:00

Biophilic design significantly enhances the ecological efficiency and humanistic value of office spaces by integrating natural elements with artificial environments. Studies show that this design can reduce building energy consumption by 15–20%, while increasing employee productivity by 12–18%. Key technical challenges include maintaining micro-ecological balance and cross-system collaborative control, and the lack of cost-benefit quantification tools hinders market promotion. As green building evaluation systems improve, intelligent environmental regulation technologies and standardized assessment methods will become key focuses for future development, providing scientific support for sustainable office environment construction.

Study on Problems and Countermeasures in the Construction of Warping Dam Projects in the Loess Plateau Area

2025-12-15T16:46:41+08:00

In recent years, to better address soil erosion, the Loess Plateau area has seen a surge in the construction of warping dam projects. Warping dams have strong functions in soil and water conservation as well as warping for farmland creation, serving as a key support for ecological restoration and economic development in the Loess Plateau area in the new era. However, in light of practical conditions, there are many problems in their construction process, which have affected their actual operation quality. In this regard, while expounding on the value and significance of warping dam project construction in the Loess Plateau area, this paper discusses the existing problems and effective countermeasures, aiming to provide some references for relevant personnel.

Stability Analysis and Safety Evaluation of Surrounding Rock in Shallow-buried Concealed Tunnel Construction

2025-12-15T16:46:32+08:00

In the construction of shallow-buried concealed tunnels, the control of surrounding rock stability is a core challenge, which is crucial to construction safety and structural performance. A two-dimensional model was established using Midas GTS NX, combined with bench cut method excavation simulation. The laws of vault and surface settlement were quantitatively analyzed through displacement nephograms, and the spatiotemporal characteristics of surrounding rock displacement were revealed. The results show that under the established excavation and support measures, the displacement and settlement meet the specification requirements. Meanwhile, the Analytic Hierarchy Process (AHP) was introduced to determine weights and analyze the coupling correlation of factors through judgment matrices, clarifying the influence degrees of surrounding rock grade, support strength, and other factors to achieve multi-dimensional evaluation. Furthermore, the Fuzzy Comprehensive Evaluation method was integrated to quantify the mapping relationship between surrounding rock stability and safety, and the safety grade was obtained. Finally, measures such as strengthening support, optimizing excavation parameters, refined exploration, and improving management were proposed to enhance surrounding rock stability and reduce construction risks.

Multi-Source Heterogeneous Data Fusion Analysis Platform for Thermal Power Plants

2025-12-15T16:46:45+08:00

With the acceleration of intelligent transformation of energy system, the monitoring of equipment operation status and optimization of production process in thermal power plants face the challenge of multi-source heterogeneous data integration. In view of the heterogeneous characteristics of physical sensor data, including temperature, vibration and pressure that generated by boilers, steam turbines and other key equipment and real-time working condition data of SCADA system, this paper proposes a multi-source heterogeneous data fusion and analysis platform for thermal power plants based on edge computing and deep learning. By constructing a multi-level fusion architecture, the platform adopts dynamic weight allocation strategy and 5D digital twin model to realize the collaborative analysis of physical sensor data, simulation calculation results and expert knowledge. The data fusion module combines Kalman filter, wavelet transform and Bayesian estimation method to solve the problem of data time series alignment and dimension difference. Simulation results show that the data fusion accuracy can be improved to more than 98%, and the calculation delay can be controlled within 500 ms. The data analysis module integrates Dymola simulation model and AERMOD pollutant diffusion model, supports the cascade analysis of boiler combustion efficiency prediction and flue gas emission monitoring, system response time is less than 2 seconds, and data consistency verification accuracy reaches 99.5%.

Research on the Application of Digital Twin Technology in the Full Lifecycle Operation and Maintenance Management of Urban Road Infrastructure

2025-12-15T16:46:29+08:00

With the continuous development of digital technology, urban management and urban construction have undergone tremendous changes, exerting a profound impact on people’s lives. As a vital component of cities, urban road infrastructure is closely related to the daily lives of citizens. The application of digital twin technology can provide more support for the full lifecycle operation and maintenance management of urban road infrastructure, effectively improving the quality and efficiency of operation and maintenance management, ensuring the effectiveness of urban road infrastructure, and building a higher-quality urban life. Based on urban road infrastructure, this paper analyzes the application value of digital twin technology, proposes strategies for full lifecycle operation and maintenance management, and offers more references for urban construction.

Research on Technology and Risk Control Strategy in Real Estate Construction Engineering Management

2025-12-15T16:46:27+08:00

The complexity of real estate construction project management is highlighted, and this paper deeply discusses its technology and risk control strategy. Analyze the application field of technology and the construction of risk management system, and verify the effectiveness of the strategy through cases. The is concluded that the integration of technology management and risk control is the core path to improve the efficiency of the project, and it points out that the application of intelligent tools should be strengthened and explore the new management mode under the dual-carbon goal.

Research on the Control of Construction Period Risks by BIM Modeling Optimization in the Pre-construction Stage of Industrial Factory Buildings

2025-12-15T16:46:26+08:00

This research focuses on using BIM modeling optimization to control construction - period risks in the pre-construction stage of industrial factory buildings. It analyzes common risk factors and limitations of traditional approaches. BIM-based methods like collision detection, 4D simulation, multi-dimensional data integration, etc., can effectively mitigate risks. Stakeholder collaboration, digital twin testing, and lean BIM integration is also crucial. Case studies show BIM can reduce risks by 32–41%, with a three phase roadmap provided.

Research on Key Points and Management Strategies for the Pre-Approval of Municipal Construction Projects

2025-12-15T16:46:43+08:00

This article focuses on the pre-approval process of municipal construction projects, elaborating on its covered stages, functional positioning, etc. This paper introduces the key points of planning permission, environmental impact assessment and other links, discusses the innovation of management mechanisms, such as collaborative approval and BIM application, and also involves risk early warning, social stability assessment and other contents. It emphasizes the importance of technical review expert database and other aspects, verifies the effectiveness of management strategies and puts forward suggestions.

Analysis of Cost Control Strategies in Green Building Construction Processes

2025-12-15T16:46:24+08:00

Green building construction typically incurs higher costs than conventional methods. To facilitate broader adoption by construction entities, cost optimization is essential. Firms must align with technological advancements, judiciously apply emerging technologies, and ensure resource efficiency through context-specific strategies. Proactive and precise scheduling is critical to avert delays from unforeseen events. Additionally, construction units should enhance on-site safety training, promote mastery of innovative techniques, and foster environmental awareness among personnel. Finally, companies ought to capitalize on government incentives for green materials while adopting bulk procurement from local sources to minimize transportation costs and secure lower unit prices.

Research on the Evaluation of Risk Control Schemes for Engineering Projects under Uncertain Environments

2025-12-15T16:46:36+08:00

To effectively select risk control schemes in uncertain environments, this paper has proposed an analysis and evaluation method based on the fuzzy comprehensive evaluation method. Firstly, enterprises have adopted the brainstorming method and the Delphi method to identify risks in engineering projects, and organized the identified risks in the form of checklists to facilitate further analysis. Secondly, the fuzzy comprehensive evaluation theory was introduced to determine the comparison matrix of each risk factor and its weight. Furthermore, the top five risk factors in terms of weight ranking were taken as the evaluation factors for the selection of risk control plans. The plans were scored through the weighted scoring method, and the optimal risk control plan was determined based on the score. Finally, the feasibility of the proposed selection technology was verified through A research example of the risk control plan assessment for the construction project of Enterprise A.

Study on Asymmetric Deformation Patterns in Layered Soft Rock Tunnels

2025-12-15T16:46:38+08:00

Layered rock mass is a typical complex rock mass. Owing to its layered structure, its deformation and strength properties exhibit distinct anisotropic characteristics. Taking a deep-excavated railway tunnel as the engineering context, this study investigates the asymmetric deformation laws of layered soft rock tunnels from two perspectives: laboratory tests and numerical simulations. Uniaxial saturated compression tests were conducted to analyze the anisotropic mechanical characteristics of rock bedding planes. This study established a model of layered rock mass tunnel excavation and support. From the perspectives of tunnel peripheral displacement, plastic zone, and maximum principal stress, it reveals the asymmetric deformation characteristics of the surrounding rock under different dip angles of bedding planes. These findings provide valuable insights for the construction of high-stress layered soft rock tunnels.

Construction Management of HVAC Engineering in Real Estate: Key Strategies for Quality Control

2025-12-15T16:46:21+08:00

This research focuses on quality control strategies in real estate HVAC engineering construction management. It first elaborates on the role of HVAC systems and challenges like material compliance risks and installation deficiencies. Then it details design validation, vendor qualification, and construction–phase monitoring methods. Case studies in various real estate projects illustrate these strategies, and a 5-phase quality maturity model was proposed for quality improvement.

Analysis of Key Technologies for On-site Detection of Subgrade and Pavement of Municipal Roads

2025-12-15T16:46:20+08:00

On-site inspection of municipal road subgrade and pavement is of great significance for ensuring the quality, safety, and durability of urban road infrastructure. This paper analyzes its key technologies, introduces non-destructive testing methods such as ground-penetrating radar and ultrasonic testing, elaborates on the multifaceted roles of inspection in engineering construction as well as relevant standards, explores site challenges, key technologies, and corresponding measures, and points out future research directions in intelligent sensing and predictive maintenance.

Discussion on the Design and Optimization Strategy of Automatic Sprinkler Fire Extinguishing in Building Fire Protection Systems

2025-12-15T16:46:18+08:00

This paper focused on the design and optimization of automatic sprinkler fire extinguishing systems in building fire protection. It was emphasized the importance of considering various factors in design, such as fire risk assessment and space utilization. Optimization strategies include enhancing water and energy efficiency, using ecofriendly materials, and smart monitoring. Practical implementation and validation in different building types were presented, along with performance benchmark analysis. Balancing fire safety and resource utilization is crucial, and future research in AI driven tuning and nano materials was promising.

Research on Key Technologies and Quality Control of Installation and Construction of Building HVAC Equipment

2025-12-15T16:46:15+08:00

Building HVAC equipment installation is vital for indoor comfort, energy efficiency, and environmental quality. Key technologies like vibration control, pipe network alignment, and thermal stress compensation, along with a multi-faceted quality standards framework, are crucial. Effective process management, practical application analysis, and the integration of robotics, IoT, and AI enhance quality and efficiency. Sustainable development strategies and lifecycle-oriented quality management are also essential for future progress.

Practical Research on the Effective Management of Change Visas and Dynamic Cost Control in the Construction Stage of Construction Projects

2025-12-15T16:46:13+08:00

Construction project construction stage requires effective change visa management and dynamic cost control. This paper defines both, presents related theories, and details challenges in traditional methods. It then proposes an integrated model with system architecture, functional modules, and practical strategies like BIM integrated workflows. A case study validates the effectiveness, and future research on AI enhanced change prediction and blockchain based audit trails is suggested.

Research and Application of Building Engineering Intelligent Review System Based on BIM and Rule Engine

2025-12-15T16:46:08+08:00

The research aimed to construct an intelligent review system for construction projects based on Building Information Modeling (BIM) and rule engines. By establishing a BIM data standard system and utilizing Structured Naming Language (SNL) to formalize review rules, combined with model visualization and scene recognition technology, a cloud native platform with automated review capabilities has been developed. The pilot application shows that the system can effectively improve the efficiency and accuracy of planning and construction drawing review, providing a feasible technical solution for digital engineering review.