Assessment of Soil Thermal Conductivity Based on BPNN Optimized by Genetic Algorithm
المؤلفون المشاركون
He, Wentong
Liu, Chenyang
Hu, Xinmin
Yao, Ren
Han, Yalu
Fan, Huabin
Du, Lizhi
Wang, Yong
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-12-22
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Thermal conductivity is a critical parameter playing an important role in the heat transfer process in thermal engineering and enormous other engineering fields.
Thus, the accurate acquisition of thermal conductivity has significant meaning for thermal engineering.
However, compared to density test, moisture content test, and other physical property tests, the thermal conductivity is hard and expensive to acquire.
Apparently, it has great meaning to accurately predict conductivity around a site through easily accessible parameters.
In this paper, 40 samples are taken from 37 experimental points in Changchun, China, and the BPNN optimized by genetic algorithm (GA-BPNN) is used to evaluate the thermal conductivity by moisture content, porosity, and natural density of undisturbed soil.
The result is compared by two widely used empirical methods and BPNN method and shows that the GA-BPNN has better prediction ability for soil thermal conductivity.
The impact weight is obtained through mean impact value (MIV), where the natural density, moisture content, and porosity are 30.98%, 55.57%, and 13.45%, respectively.
Due to high complexity of different parameter on thermal conductivity, some remolded soil specimens are taken to study the influence of individual factors on thermal conductivity.
The correlations between moisture content and porosity with thermal conductivity are studied through control variable method.
The result demonstrates that the impact weight of moisture content and porosity can be explained by remolded soil experiment to some extent.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Chenyang& Hu, Xinmin& Yao, Ren& Han, Yalu& Wang, Yong& He, Wentong…[et al.]. 2020. Assessment of Soil Thermal Conductivity Based on BPNN Optimized by Genetic Algorithm. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1122356
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Chenyang…[et al.]. Assessment of Soil Thermal Conductivity Based on BPNN Optimized by Genetic Algorithm. Advances in Civil Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1122356
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Chenyang& Hu, Xinmin& Yao, Ren& Han, Yalu& Wang, Yong& He, Wentong…[et al.]. Assessment of Soil Thermal Conductivity Based on BPNN Optimized by Genetic Algorithm. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1122356
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1122356
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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