Technological advancements in electronic storage have been trending for cloud computing. The revolution of this computer technology with machine learning and artificial intelligence has created prodigious platforms to the various disciplines of science and technology. Civil engineering is the oldest discipline, and due to the never-ending demand of this domain, it is rapidly adapting to newer computer techniques like image processing, deep learning, big data analysis, neural networks, building information modeling (BIM), unmanned aerial vehicle (UAV) system, digital image correlation (DIC), and many more. In the current paper, we portrayed the primary research and achievements of AI and image processing applications in the civil domain. The paper is divided in two parts. The first part provides analysis of existing methods along with examples relevant to the civil domain where it is incorporated. The second part elaborates scientometric study constituting 605 documents (Science Direct database) published in the last two decades. The bibliometrics are further used for producing analytical frameworks based on publications, citations, top journals, top institutions, and funding sources. This study serves as a guide for readers to identify research gaps and use the review for potential future study.
Soil is a natural wealth to human which need to be preserved, huge amount of soil is normally eroded due to rain and other activities, also anthropogenic occurrences increases the chance of erosion. Multiple methods are being employed to preserve soil erosion along hill slopes but all most of them end up as non-viable or costly. Vegetation plays key role in protecting soil from erosion, presence of vegetation increases the soil burden stability along slopes which increases the shear strength and reduce the soil erosion. In this work we had tried to study the soil binding nature of four different plant roots via soil bioengineering procedures. Primary aim of this paper is to obtain information related to the method of soil binding by the plant roots on silty-clay soil. We had studied the root growth nature and how they really tie up the soil as a monolithic mass to provide soil erosion protection. Plants were grown in pot culture allowing the plants to reach full root growth potential since roots play major role in protection soil from erosion. Triaxial shearing tests were conducted on the soil-root mass obtained using cores from soil. Also pull out tests were done to obtain the load required to pull out a fully grown root which indicates its composite ability. Also, root properties like Root Area Ratio (RAR), Root Biomass (RB), Tensile strength of root, root angle, thickness of root, deep rooting, root length density, root decay rate.
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