Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering最新文献_第2页

Material Modelling of Pare rock mass by Finite Element Back Calculation Technique 基于有限元反算技术的稀疏岩体材料建模

Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering Pub Date : 2021-06-01 DOI: 10.11159/icgre21.lx.116

P. Singh, D. Goswami, R. Singh, Pragati Goswami, Sylvia Kashyap

{"title":"Material Modelling of Pare rock mass by Finite Element Back Calculation Technique","authors":"P. Singh, D. Goswami, R. Singh, Pragati Goswami, Sylvia Kashyap","doi":"10.11159/icgre21.lx.116","DOIUrl":"https://doi.org/10.11159/icgre21.lx.116","url":null,"abstract":"River Valley Projects possess great significance for the development of developing countries. They are used for various purposes like irrigation, hydroelectricity generation, water supply, flood control etc. In this regard the determination of the properties of the rock mass of the site becomes essential, which can be done with the help of in-situ tests as well as laboratory tests. But, conducting a greater number of in-situ tests in the field is not feasible, forcing one to use the tools like Finite element codes like Plaxis 3D AE for determining the properties of the rock mass. In this research work, an attempt has been made to derive the properties of the rock mass by back calculation technique using the results of In-situ Plate load test. An appropriate material modelling is very important in any Finite Element analysis to arrive at solutions close to the exact values, necessitating the selection of appropriate constitutive model. In this context, the suitability of the four constitutive models viz. Jointed Rock mass model, Hoek-Brown model, Mohr-coulomb model and Hardening Soil model, appropriate to Pare Rock mass is examined. Through this study, a systematic approach has been adopted for the simulation of rock mass properties of the Pare Hydroelectric Project site with the help of numerical modelling.","PeriodicalId":375467,"journal":{"name":"Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122900083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance of Integrated Fixed-Film Activated Sludge (IFAS) under Variable Organic Load 综合固定膜活性污泥(IFAS)在变有机负荷下的性能

Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering Pub Date : 2021-06-01 DOI: 10.11159/iceptp21.lx.108

A. Elawwad, O. Abdelkarim, M. Edward

引用次数: 1

From Physical Measurements to Design Codesfor MSE Walls 从物理测量到MSE墙的设计规范

Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering Pub Date : 2021-06-01 DOI: 10.11159/icgre21.lx.002

R. Bathurst

引用次数: 0

Smaller Than Expected Benefit of COVID-19 Lockdown on Urban Air Quality COVID-19封锁对城市空气质量的影响小于预期

Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering Pub Date : 2021-06-01 DOI: 10.11159/iceptp21.lx.002

Zongbo Shi

引用次数: 0

Geo-electrical EvaluationofCompacted Sand-Bentonite MixCharacteristics 压实砂-膨润土混合特性的地电性评价

Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering Pub Date : 2021-06-01 DOI: 10.11159/icgre21.lx.109

Vaishali Wayal, T. Sitharam, G. Latha

引用次数: 0

Use of Artificial Neural Networks for Prediction of Properties of Self-Sensing Concrete 应用人工神经网络预测自感知混凝土的性能

Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering Pub Date : 2021-06-01 DOI: 10.11159/icsect21.lx.106

S. Kekez

{"title":"Use of Artificial Neural Networks for Prediction of Properties of Self-Sensing Concrete","authors":"S. Kekez","doi":"10.11159/icsect21.lx.106","DOIUrl":"https://doi.org/10.11159/icsect21.lx.106","url":null,"abstract":"Nanomaterials such as carbon nanotubes and carbon nanofibers are used as reinforcement for concrete, enhancing its compressive and flexural strength, and durability, and providing additional properties such as electrical conductivity. Hence, CNT/CNF reinforced concrete composite material is multifunctional material which may be used in structural capacity as well as structural health monitoring purposes. Although this material can be superior to traditional concrete, extensive and costly procedures of fabrication are hindering its practical potential. Concrete mix design methods are commonly used during the design of such composites, however, since these methods cannot give direct connection between the recipe and the end-product, every composite must be put through testing and iteratively adjusted until the appearance of wanted results. This paper proposes application of artificial neural networks for predicting properties of CNT/CNF concrete composite materials. Artificial neural networks in mix design have been developed for various types of concrete, commonly to predict only compressive strength as the primary property of concrete. However, self-sensing concrete is used primarily for its piezoresistivity and enhanced strength is only the consequence of the existence of nanofillers. Hence, the paper investigates prediction of compressive and flexural strength as well as electrical resistivity of 468 concrete mixtures by developing 3 different datasets comprehended by 6 ANN models. The models show some interesting results and point toward the necessity of further investigations on this topic and possible improvements.","PeriodicalId":375467,"journal":{"name":"Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130611388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Engineering Applications of Distributed Fiber Optic Sensing Arrays 分布式光纤传感阵列的工程应用

Proceedings of the 6th World Congress on Civil, Structural, and Environmental Engineering Pub Date : 2021-06-01 DOI: 10.11159/icgre21.lx.003

D. Fratta

引用次数: 0