Title: The detection method for uneven settlement of foundation in the area of industrial waste miscellaneous filling
Authors: Hongxia Liu; Aidan Moore
Addresses: Department of Railway Construction and Civil Engineering, Shandong Polytechnic, Jinan, Shandong Province, 250104, China ' Samuel Ginn College of Engineering, Auburn University, Auburn, Alabama 36849, USA
Abstract: In order to overcome the problems of large error and long time in the detection process of traditional foundation subsidence detection methods, this paper proposes a multi-feature fusion based detection method for uneven foundation subsidence in the area of mixed industrial waste. The method USES wavelet transform technology to filter the ground image of the industrial waste filling area and improves the accuracy and timeliness of settlement detection fundamentally. After obtaining the optimal threshold values of different sub-blocks of the foundation image, combined with the multi-scale ridge edge fusion algorithm, the uneven settlement of the foundation area was detected by the feature fusion process. The experimental results show that the detection error of this method is basically kept below 4%, the detection process takes less than 50ms all the time, and the detection cost is less than 60,000 yuan, which fully demonstrates the effectiveness of this method.
Keywords: industrial waste miscellaneous filling area; uneven settlement of foundation; settlement detection; multi-feature fusion.
International Journal of Environmental Technology and Management, 2021 Vol.24 No.3/4, pp.135 - 149
Received: 06 Jul 2020
Accepted: 12 Nov 2020
Published online: 03 Aug 2021 *