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Titlebook: Recent Advances in Civil Engineering; Select Proceedings o Krishna R. Reddy,P. T. Ravichandran,Anil Joseph Conference proceedings 2024 The

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发表于 2025-3-21 19:19:25 | 显示全部楼层 |阅读模式
书目名称Recent Advances in Civil Engineering
副标题Select Proceedings o
编辑Krishna R. Reddy,P. T. Ravichandran,Anil Joseph
视频video
概述Discusses the latest research in construction engineering and management.Covers topics such as urban planning and design, building energy conservation, and green architecture.Presents select proceedin
丛书名称Lecture Notes in Civil Engineering
图书封面Titlebook: Recent Advances in Civil Engineering; Select Proceedings o Krishna R. Reddy,P. T. Ravichandran,Anil Joseph Conference proceedings 2024 The
描述.This book presents the select proceedings of International Conference on Civil Engineering: Innovative Development in Engineering Advances (ICC-IDEA 2023). This book covers the latest research in the areas of geotechnical engineering, geomatics, geosciences, remote sensing, geographical information systems, surveying and geo-spatial engineering, environmental engineering, and many more. The book is useful for researchers and professionals in civil engineering..
出版日期Conference proceedings 2024
关键词Smart Cities; Urban Planning and Design; Automation in construction; Construction Engineering and Manag
版次1
doihttps://doi.org/10.1007/978-981-99-6229-7
isbn_softcover978-981-99-6231-0
isbn_ebook978-981-99-6229-7Series ISSN 2366-2557 Series E-ISSN 2366-2565
issn_series 2366-2557
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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Early Strength of an Expansive Soil Stabilized Using a Blend of Hydrated Lime, Unrefined Brown Sugarout to be 5:1:1. The specimens stabilized with ideal dosage were exposed to air curing, moisture curing and thermal curing for a period of three days. The ideal blend was also subjected to 0, 1 and 2 cycles of wetting–drying (WD) to get a preliminary indication of its durability. The outcome of the
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A Study on the Strength Characteristics of Expansive Soil Blended with Rice Husk Ash that adding rice husk ash content increases the optimal level of moisture content and highest dry density. The study results show that enhancing the rice husk ash content increased the unconfined compressive stress and California bearing ratio significantly. The UCS improved up to 817 kPa from 142 
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Study on Performance of Expansive Soil Using Agro Waste as a Sustainable Stabilizeroptimum dosage and there is a volume reduction in soil by 50% with the addition of WHA compared with untreated soil. Wheat husk waste which is one of the agricultural wastes produced abundantly causing waste disposal problem and threat to the surroundings can be utilized in soils for strength enhanc
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Prediction of Diaphragm Wall Deflection by Using Different Models for Deep Excavation in Sandsin model are relatively close to those results, which were derived from field measurements. The hardening soil model produces superior results, when compared to the Mohr–Coulomb model. The ground settlement results predicted by any of the three soil models were poor. To anticipate the wall deflectio
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A Comparative Study on Various Water Index Methods Through Satellite Image Processing for Pre- and Pas 4.98 km., 15.43 km., and 6.15 km. by NDWI, MNDWI, and WRI, respectively. Also, a comparative study of the results was conducted for the above various methods, and this approach could be very helpful to delineate in mapping flooded areas with better accuracy. Analysis and results show that the MND
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Groundwater Potential Zone Identification Through Remote Sensing GIS Technology in Part of Dharmapurork has been done on the origin and evolution of the high-grade terrain in which the hypersthene bearing rock viz., charnockite forms the major component. Land use/land cover features are more related to groundwater quantity as well as quality. The study area’s hill and woodland are the next most pr
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Watershed Monitoring Application for Sub-watersheds of Lower Palar River Reach Using Remote Sensing ber of satellite-sensed images taken from the study area and then processing them in GIS software. The GEE is working on the cloud server, which is dedicated to the processing of satellite image data using machine learning code. GEE does not require image saving or collection, which are simple analy
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