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Assessment of Waterlogging Risk in the Deep Foundation Pit Projects Based on Projection Pursuit Model
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-29
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
As a result of global climate change and urbanization, waterlogging disasters have occurred frequently around the world, and deep foundation pit projects with lower terrain suffer even more.
This study puts forward a method for the waterlogging risk assessment of deep foundation pit projects via the combination of a projection pursuit model, particle swarm optimization, and an interpolation algorithm.
First, through a comprehensive analysis of the water circulation process in waterlogging and the characteristics of deep foundation pit projects, a risk index system with 11 indicators is identified and constructed.
Then, a projection pursuit model optimized by particle swarm optimization is leveraged to determine the weights of the indicators and the best projection values of evaluation objects, and the mathematical function between the best projection values and the risk levels is constructed by an interpolation algorithm.
Finally, three deep foundation pit projects of the Chengdu Metro Line 11 in China are selected as case studies.
The results demonstrate that the frequency of storms, intensity of rainfall, preparation of emergency rescue plans, and proportion of older workers have the greatest impacts on waterlogging risk in deep foundation pits.
The risk ranking of the case studies is found to be consistent with the actual situations, which proves the objectivity and effectiveness of the proposed method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wu, Han& Wang, Junwu. 2020. Assessment of Waterlogging Risk in the Deep Foundation Pit Projects Based on Projection Pursuit Model. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1121141
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wu, Han& Wang, Junwu. Assessment of Waterlogging Risk in the Deep Foundation Pit Projects Based on Projection Pursuit Model. Advances in Civil Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1121141
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wu, Han& Wang, Junwu. Assessment of Waterlogging Risk in the Deep Foundation Pit Projects Based on Projection Pursuit Model. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1121141
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1121141
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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