FAN Lijun. Identification of Crack in Concrete Structures Based on MobileNetV2 of Lightweight Convolutional Network[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(7): 231-236. doi: 10.13204/j.gyjzG23021618
Citation:
Wang Cheng, Ling Daosheng. ANALYSIS OF INFLUENCE OF THE RAFT RIGIDITY ON THE SUBSTRATUM'S ADDITIONAL STRESS OF THE PILED RAFT FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(5): 5-9,15. doi: 10.13204/j.gyjz200505002
FAN Lijun. Identification of Crack in Concrete Structures Based on MobileNetV2 of Lightweight Convolutional Network[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(7): 231-236. doi: 10.13204/j.gyjzG23021618
Citation:
Wang Cheng, Ling Daosheng. ANALYSIS OF INFLUENCE OF THE RAFT RIGIDITY ON THE SUBSTRATUM'S ADDITIONAL STRESS OF THE PILED RAFT FOUNDATION[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(5): 5-9,15. doi: 10.13204/j.gyjz200505002
By finite element method, the distributions of additional stress of piled raft foundations in different raft rigidities are analyzed. The results show pile top reaction, pile tip resistance and additional stress of the substratum are greatly influenced by raft rigidities, especially in the rigid foundations. Combined the results by finite element analyzing and Geddes' stress formula calculating, the raft rigidities also impact the relationships between vertical additional stress and depth and stress'respondence depth.
FAN Lijun. Identification of Crack in Concrete Structures Based on MobileNetV2 of Lightweight Convolutional Network[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(7): 231-236. doi: 10.13204/j.gyjzG23021618
FAN Lijun. Identification of Crack in Concrete Structures Based on MobileNetV2 of Lightweight Convolutional Network[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(7): 231-236. doi: 10.13204/j.gyjzG23021618