Multifactor Uncertainty Analysis of Construction Risk for Deep Foundation Pits

Zhang, Wei; Huang, Zhen; Zhang, Jiabing; Zhang, Ruifu; Ma, Shaokun

doi:10.3390/app12168122

Cited by 8 publications

(5 citation statements)

References 14 publications

(31 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to their impact on the quality of construction, factories related to individual processes also have an impact on the time and cost efficiency of construction work. There are several methods for the risk assessment of construction [44][45][46][47], but each of them is specific to individual conditions.…”

Section: Processes Of Concrete Structure Buildingsmentioning

confidence: 99%

Risk Management on Concrete Structures as a Tool for the Control of Construction Efficiency

Špak,

Mandičák,

Spišáková

et al. 2023

Sustainability

View full text Add to dashboard Cite

Risk management in the construction industry has a significant role in the impact of a construction project. Risk management is needed to make processes more efficient in terms of the implementation of construction projects. This research is oriented to the management of risks regarding the concrete structures of residential buildings in Central Europe. This research provides insights into risk management procedures, based on a risk’s frequency, the probability of occurrence, and its impact on the effectiveness of construction projects for concrete structures. The aim of the research is to analyze the impact of risk management on the efficiency of construction projects for residential buildings and to propose a method of quantifying this impact, in terms of the technical and economic aspects, based on the calculated coefficients. This will assist in risk management by prioritizing those risks that will have the most significant impact on both the technical aspects and the efficiency of the project. The research results herein provide coefficients for determining the technical and economic impacts that can be implemented for risk management regarding the concrete structures used in the construction projects of residential buildings. The potential risks of concrete structures have been identified and divided into three groups. The scope and content of this study were chosen on the basis of the processes at individual stages. Construction management experts quantified the risk and probability levels according to the implemented projects. Based on the acquisition of these data, the rates of occurrence and impact, i.e., the extent of damaged parts (intensity), were determined. Subsequently, the significance factor was determined. To determine the efficiency, the net present value method was used, reflecting the investment’s time value. The values were adjusted for time and inflation, affecting the overall efficiency coefficient of construction projects. These data were obtained from Eurostat.

show abstract

Section: Processes Of Concrete Structure Buildingsmentioning

confidence: 99%

Risk Management on Concrete Structures as a Tool for the Control of Construction Efficiency

Špak,

Mandičák,

Spišáková

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…With the acceleration of modern urbanization, the demand for large-scale buildings and underground space projects is increasing, which also promotes the continuous growth of the number and scale of large-scale foundation pit projects. However, the foundation pit is usually underground, the construction period is long, the construction is difficult, and the influencing factors are complex and changeable; therefore, the risk associated with foundation pit construction is relatively high [1,2]. Therefore, the safety monitoring of foundation pits is one of the most important means of ensuring the safety of foundation pit construction and the stability of the foundation pit structure.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Analysis of Construction Safety of Large Underground Space Based on Digital Twin

Yu,

Liu,

Wang

et al. 2024

Buildings

View full text Add to dashboard Cite

With the rapid development of underground space, the issue of safety in construction processes is becoming more and more significant. The purpose of this paper is to solve the problem of the existing underground space monitoring technology not being centralized and unified. In view of the problems related to large underground spaces in the process of constructing complex structures, with the introduction of Internet of Things technology and digital twins, we put forward an application of an intelligent safety-monitoring digital twin system in the construction of a large underground space structure, and at the same time, explore the Internet and digital integration mechanism of the twin system. The twin system uses BIM technology to establish the corresponding physical construction model, and collects multi-source heterogeneous monitoring data in real time through Internet of Things technology to achieve the exchange of information between the virtual construction model and the physical construction model. The twin system uses the multi-source heterogeneous data for real-time security analysis, and obtains the security status of the structure and feeds it back to the application service layer. The effectiveness and practicability of the twin system in large underground spaces are verified by an example project. Aiming at the safe performance of the orthogonal arch, the mapping relationship of various parameter indexes is obtained, and reasonable control measures are given. This study provides a new solution for improving the safety of construction projects and risk prevention and control, and has important theoretical and practical value for the safety management of underground space construction processes.

show abstract

“…Assigning distinct weights to the indices is necessary after identifying the monitoring items as assessment indices, as each monitoring item reflects deformation with varying degrees of influence on the security status of DFP. Prevailing methods for determining weights often rely on subjective expert surveys, such as the analytical hierarchy process [6], best worst method [7], and grey decision-making trial and evaluation laboratory (GDE-MATEL) [8]. These approaches are mainly applied under the condition that quantitative indicators are limited [9].…”

Section: Introductionmentioning

confidence: 99%

“…The robustness and generalization ability of the model can be greatly decreased when incomplete and unreliable data are encountered. Accordingly, engineers prefer to utilize comprehensive evaluation methods that construct membership functions to determine risk grades in excavation engineering with a high degree of uncertainty and randomness, such as the fuzzy theory [6,18], technique for order preference by similarity to an ideal solution (TOPSIS) [10,19], and cloud model (CM) [7,20,21].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Source Monitoring Data Fusion Comprehensive Evaluation Method for the Safety Status of Deep Foundation Pit

Wu,

Wei,

Meng

et al. 2023

Sustainability

View full text Add to dashboard Cite

Construction of the deep foundation pit (DFP) in subway stations is fraught with significant uncertainties, which may cause project delays due to discrepancies between single-indicator monitoring warning information and actual conditions at the site. Therefore, this article proposes a safety assessment method for DFP based on the Game-Cloud Model. An entirely quantitative assessment index system is established with on-site monitoring projects according to the design safety classification of DFP. Considering the one-sidedness of using a single method to determine the weights of assessment indices, game theory is introduced to calibrate the subjective and objective weights determined by the grey decision-making trial and evaluation laboratory (GDEMATEL) and the entropy method, respectively. Next, we use the forward cloud generator of the cloud model (CM) to generate the safety level membership function of the evaluation indicators. Finally, we quantitatively calculate the synthetic safety level of DFP using the comprehensive evaluation approach. A 19-day dynamic assessment was conducted on the actual engineering project by the proposed method. The results indicated that the synthetic safety level of the assessed area ranged between grades Ⅰ and Ⅱ, corresponding to Negligible and Acceptable in the acceptance criteria. Compared with the single-indicator monitoring warning results, it was more in line with on-site observation, which verified its reliability and practicality.

show abstract

Multifactor Uncertainty Analysis of Construction Risk for Deep Foundation Pits

Cited by 8 publications

References 14 publications

Risk Management on Concrete Structures as a Tool for the Control of Construction Efficiency

Risk Management on Concrete Structures as a Tool for the Control of Construction Efficiency

Intelligent Analysis of Construction Safety of Large Underground Space Based on Digital Twin

Multi-Source Monitoring Data Fusion Comprehensive Evaluation Method for the Safety Status of Deep Foundation Pit

Contact Info

Product

Resources

About