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Online automatic structural health assessment of the Shanghai Tower
Qilin Zhang,Xiaoxiang Tang,Jie W,Bin Yang 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.24 No.3
Structural health monitoring (SHM) is of great importance to super high-rise buildings. The Shanghai Tower is currently the tallest building in China, and a complete SHM system was simultaneously constructed at the beginning of the construction of the tower. Due to the variety of sensor types and the large number of measurement points in the SHM system, an online automatic structural health assessment method with few computations and no manual intervention is needed. This paper introduces a structural health assessment method for the Shanghai Tower that uses the coefficients of an autoregressive (AR) time series model as structural state indicators. An analysis of collected data indicates that the coefficients of the AR model are affected by environmental factors, and the principal component analysis method is used to remove the influence of environmental factors. Finally, the control chart method is used to track the changes in structural state indicators, and a plan for online automatic structure health state evaluation is proposed. This method is applied to long-term acceleration and inclination data from the Shanghai Tower and successfully identifies the changes in the structural state. Overall, the structural state indicators of the Shanghai Tower are stable, and the structure is in a healthy state.
Libo Yu,Xixiang Tang,Shiping Wei,Yinkun Qiu,Xiashutong Xu,Guangxin Xu,Qilin Wang,Qian Yang 한국미생물학회 2019 The journal of microbiology Vol.57 No.7
A Gram-positive, aerobic, rod-shaped, spore-forming bacterium, designated YLB-03T, with peritrichous flagella was isolated from deep-sea sediment of the Yap Trench at a depth of 4435 m. The bacterium was found to be catalase-positive but oxidase-negative. Growth of this bacterium was observed at 15–50°C (optimum 37°C), pH 5–10.5 (optimum 7), 0–5% NaCl (optimum 1%, w/v) and 0.1–50 MPa (optimum 0.1 MPa). Phylogenetic analysis based on 16S rRNA gene sequences showed that strain YLB-03T was a member of the genus Lysinibacillus. Strain YLB-03T was closely related to Lysinibacillus sinduriensis BLB-1T and Lysinibacillus chungkukjangi 2RL3-2T (98.4%), Lysinibacillus halotolerans LAM- 612T (98.0%), Lysinibacillus telephonicus KT735049T (97.5%), Lysinibacillus endophyticus C9T (97.5%), Lysinibacillus composti NCCP-36T and Lysinibacillus massiliensis 4400831T (97.3%). The ANI and the GGDC DNA-DNA hybridization estimate values between strain YLB-03T and closely related type strains were 73.7–76.3% and 34.7–38.7%, respectively. The principal fatty acids were anteiso-C15:0 and iso-C15:0. The G+C content of the chromosomal DNA was 39.6 mol%. The respiratory quinone was determined to be MK-7. The diagnostic amino acids in the cell wall peptidoglycan contained Lys-Asp (type A4α) and the cell-wall sugars were glucose and xylose. The polar lipids included diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, and an unidentified phospholipid. The combined genotypic and phenotypic data showed that strain YLB-03T represents a novel species within the genus Lysinibacillus, for which the name Lysinibacillus yapensis sp. nov. is proposed, with the type strain YLB-03T (= MCCC 1A12698T = JCM 32871T).