http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Mehdi Ravanshadnia (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
A Hybrid Fuzzy Risk Assessment Framework for Determining Building Demolition Safety Index
Milad Alipour-Bashary,Mehdi Ravanshadnia,Hamidreza Abbasianjahromi,Ehsan Asnaashari 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.4
Risk assessment is one of the most effective actions in the safety management of demolition projects. This paper provides a framework to determine building demolition safety index (BDSI), which shows the safety level of a building being demolished. Two phases are involved in this study. In the first phase, 11 potential risks in building demolition and their influencing factors were identified, evaluated, and classified using a hybrid approach consisting of the Delphi method, Fine-Kinney method, fuzzy fault tree analysis (FTA), fuzzy technique for order preference by similarity to ideal solution (TOPSIS), and fuzzy inference system (FIS). In the second phase, a checklist of the most important safety factors and sub-factors in the demolition operation was provided, and the equations needed to calculate BDSI were presented. The first phase of the study was validated by comparing the study’s results with available demographic data from Tehran Construction Engineering Organization, Iran. The second phase was validated by calculating the BDSI for two buildings and evaluating the relationship between BDSI and safety level. BDSI is useful for building demolition projects because it allows project managers to have a more realistic view of the risk level of the project and accordingly take the necessary measures to prevent accidents.
-
Scoring of Tenders in Construction Projects Using Group Method of Data Handling
Masoud Nouri Mehrabani,Emadaldin Mohammadi Golafshani,Mehdi Ravanshadnia 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.7
In a competitive construction environment, contractors are often faced with a large number of tenders that compel them to make the best decision in a limited time. In this paper, a decision support system (DSS) based on group method of data handling model (GMDH) was developed for the scoring of tenders (STs). Based on a comprehensive study of the existing literature and experts’ opinions, seven criteria were extracted, namely client, contract, company, consulting engineers, project status/situation, risk, and economic criteria as the inputs of the system. To develop the DSS, the data from 135 tenders were collected from the previous tenders of a private construction contractor. The results illustrate that the proposed model, with a negligible error, is reliable in ST. Moreover, the proposed model specifies the score of new tenders, and decision-makers (DMs) can easily make their decisions in prioritizing and evaluating new tenders. Furthermore, a sensitivity analysis was performed to address the importance of the criteria, and it was concluded that the contract related criterion is the most important principle to the contractor. Eventually, a graphical user interface was designed in a user-friendly environment which allows the decision-makers to visualize the ST.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
