scholarly journals Construction Safety Risk Assessment for Existing Building Renovation Project Based on Entropy-Unascertained Measure Theory

2020 ◽  
Vol 10 (8) ◽  
pp. 2893
Author(s):  
Wenlong Li ◽  
Qin Li ◽  
Yijun Liu ◽  
Huimin Li ◽  
Xingwang Pei
Keyword(s):  
Risk Assessment ◽  
Measure Theory ◽  
Construction Safety ◽  
Risk Identification ◽  
Assessment Model ◽  
Entropy Weight ◽  
Safety Risk ◽  
Existing Building ◽  
Assessment Index ◽  
Entropy Weight Method

With the development of society, there are more and more existing building renovation projects. According to the common construction safety problems, and based on the characteristics of the construction process of renovation project, this paper established a construction safety risk assessment model of renovation project based on entropy-unascertained measure theory. Firstly, the assessment index system was determined by risk identification and analysis. Secondly, the unascertained measure theory was applied to the construction safety risk assessment of renovation project, and the weight of each index was determined by the entropy weight method. Finally, taking the actual renovation projects as examples to calculate its safety risk grade, it is found that the assessment results of the model are basically consistent with the actual situation of the site by comparison. The research shows that the model can provide a new idea to quantitatively assess the construction safety risk of renovation project and provide a reliable basis for the management and control of the construction safety of existing building renovation project.

Safety Risk Assessment of Highway Special Maintenance Project Based on BP Neural Network

2011 ◽  
Vol 368-373 ◽  
pp. 3175-3179
Author(s):  
Wei Tian ◽  
Hui Min Li ◽  
Rui Qi Yan ◽  
Yun Xiang Hu
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Bp Neural Network ◽  
Safety Management ◽  
Construction Safety ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Safety Risk ◽  
Assessment Index ◽  
Assessment Index System

16 items of assessment indexes are selected to build up the safety risk assessment index system of special maintenance project according to the construction safety characteristics of highway special maintenance project, based on which, the safety risk assessment model of special maintenance project based on BP neural network is brought forward. The assessment model has been trained, checked and analyzed through example and it turns out that the effective safety risk assessment of highway special maintenance project can be calculated based on this model, which also supplies decision-making basis for the project safety management.

scholarly journals Assessment of Laboratory Safety in Universities Based on Combined Weighting Method and Unascertained Measure Theory

2021 ◽  
Vol 257 ◽  
pp. 02026
Author(s):  
Kong Shengli ◽  
Song Yuqing ◽  
Yang Pengfei ◽  
Fang Xinmei ◽  
Yang Zhen ◽  
...  
Keyword(s):  
Safety Management ◽  
Measure Theory ◽  
Equipment Management ◽  
Laboratory Safety ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Assessment Index ◽  
Entropy Weight Method ◽  
Weight Method

In order to avoid accidents and improve the level of laboratory safety management in universities, a laboratory safety assessment method based on entropy weight method, analytic hierarchy process and unascertained measure theory is put forward. The laboratory safety assessment index system is established by selecting eight assessment indexes such as hazardous chemicals management, instrument and equipment management and personal protective equipment management; The comprehensive weight of the assessment index is determined by combining the combination weighting method of analytic hierarchy process (AHP) and entropy weight method (EW). According to the principle of maximum membership degree, the safety grade of university laboratory is determined, and compared with the actual results. This work indicated that this innovated method can reasonably evaluate the current situation of laboratory safety, and it can provide a reference for strengthening laboratory safety management.

scholarly journals Construction Safety Risk Assessment of Large-Sized Deep Drainage Tunnel Projects

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Kai Hu ◽  
Junwu Wang ◽  
Han Wu
Keyword(s):  
Risk Assessment ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Safety ◽  
Assessment Model ◽  
Economic Losses ◽  
Risk Level ◽  
Deep Drainage ◽  
Safety Risk ◽  
Drainage Tunnel ◽  
Weight Method

Frequent extreme climate events and rapid global urbanization have amplified the occurrence of accidents such as waterlogging or the overflow of pollution in big cities. This has increased the application scenarios of large-sized deep drainage tunnel projects (LSDDTPs). The scientific and accurate evaluation of the construction safety risks of LSDDTP can effectively reduce the corresponding economic losses and casualties. In this paper, we employed the hierarchical holographic model to construct the safety risk list of LSDDTPs in terms of the risk source and construction unit. Based on social network analysis, we then screened key indicators and calculated the weights of all secondary indicators from the correlation between risk factors. We subsequently developed a construction safety risk assessment model of LSDDTPs based on the matter-element extension method. The Donghu Deep Tunnel Project in Wuhan, China, was selected as a case study for the proposed method. The results of empirical research demonstrated that eight indicators (e.g., failure to effectively detect the change of the surrounding environment of the tunnel project) were key factors affecting the construction safety risk of IV, which is within the acceptable risk level. Our proposed model outperformed other methods (the fuzzy comprehensive evaluation, analytic hierarchy process, entropy weight method, and comprehensive weight method) in terms of scientific validity and research advancements.

scholarly journals ASSESSING CONSTRUCTION LABOURS’ SAFETY LEVEL: A FUZZY MCDM APPROACH

2020 ◽  
Vol 26 (2) ◽  
pp. 175-188 ◽  
Author(s):  
Saeed Reza Mohandes ◽  
Haleh Sadeghi ◽  
Amir Mahdiyar ◽  
Serdar Durdyev ◽  
Audrius Banaitis ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Real Life ◽  
Limited Range ◽  
Construction Safety ◽  
The Body ◽  
Assessment Model ◽  
Decision Matrix ◽  
Safety Level ◽  
Safety Risk ◽  
Interval Valued

Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.

Construction of the Factors Affecting China's Hydropower Projects and Overseas Investment Risk Assessment Index System

2014 ◽  
Vol 672-674 ◽  
pp. 2077-2084 ◽  
Author(s):  
Su Juan Ge ◽  
An Na Shi
Keyword(s):  
Risk Assessment ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Risk Identification ◽  
Assessment Model ◽  
Investment Risk ◽  
Analytic Hierarchy ◽  
Assessment Index ◽  
Factors Affecting ◽  
Overseas Investment

In this paper, power projects overseas investment risk as the research object, starting from the risk assessment and prevention, integrated use of risk theory of knowledge, power projects overseas investment to do a systematic risk identification and analysis. On this basis, the analytic hierarchy process, fuzzy comprehensive evaluation of knowledge and econometrics to establish risk assessment model, a comprehensive assessment of power projects overseas investment risks.

scholarly journals Public Safety Risk Assessment of Power Investment Project Based on Fuzzy Set and DS Evidence Theory

2020 ◽  
Vol 143 ◽  
pp. 02009
Author(s):  
Tai-hua Yang ◽  
Jing Qin ◽  
Zhi-xiang Li
Keyword(s):  
Risk Assessment ◽  
Fuzzy Set ◽  
Public Safety ◽  
Evidence Theory ◽  
Investment Project ◽  
Public Security ◽  
Risk Level ◽  
Security Risk ◽  
Safety Risk ◽  
Assessment Index

In recent years, the international situation has become more and more complex, and the regional conflicts have been escalating, and the risks of overseas public security have been increasing. Based on the four types of public security events, a public safety risk assessment index system of "one belt and one road" electric power investment project is established. Combining the Bayesian network model, and using fuzzy set and DS evidence theory, the public security risk level of the “Belt and Road” countries can be this method has been effectively verified and put forward countermeasures by an example.

Analytical model for assessing collapse risk during mountain tunnel construction

2016 ◽  
Vol 53 (2) ◽  
pp. 326-342 ◽  
Author(s):  
Guo-Hua Zhang ◽  
Yu-Yong Jiao ◽  
Li-Biao Chen ◽  
Hao Wang ◽  
Shu-Cai Li
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Index System ◽  
Assessment Model ◽  
Tunnel Construction ◽  
Assessment Index ◽  
Assessment Index System ◽  
Geological Prediction ◽  
Tunnel Collapse ◽  
Mountain Tunnel

Risk management for safety in mountain tunnel construction is of great significance. However, existing research lags behind engineering applications. In this paper, the risk of mountain tunnel collapse is used as an example to illustrate a new assessment method based on case-based reasoning, advanced geological prediction, and rough set theory. First, the risk surroundings and risk factors involved in tunnel collapse are integrated and summarized, and a risk assessment index system is established for tunnel collapse. At the same time, because the dynamic response parameters obtained by the advanced geological prediction usually indicate a typical geological structure, sensitive response parameters are introduced in the assessment index system. Advanced risk assessment can be performed for tunnel sections at a certain distance ahead of the tunnel face. Second, the major risk surroundings and the advanced geological prediction results are analyzed for the tunnel under assessment. Cases with similar attribute characteristics are selected via comparison with previous cases. Attribute reduction and calculation of weights are subsequently performed for the risk surroundings and risk factors of similar cases based on the attribute significance theory of rough sets. Finally, index screening and objective weights are applied in the fuzzy comprehensive assessment model. The results of this paper can be used to improve the theoretical level and reliability of risk assessment in tunnel safety and serve as a reference for tunnel construction.

Sign in / Sign up

Export Citation Format

Share Document