STUDY OF LIGHTWEIGHT DESIGN ON GIRDER OF BRIDGE CRANE

Lightweight design on bridge crane exist the following problems by ANSYS: Mostly using static indicators as a design criterion,ignoring the dynamic performance; the whole process takes a long time; and the parameters optimized often should be rounded,weaken the effect. In this paper,taking the bridge crane with 20t- 22. 5m as an example,utilization of ANSYS and multidisciplinary design optimization software Isight,based on the theory of Latin hypercube design,BP neural network,Hooke-Jeeves algorithm,presenting a better and faster optimization method for main girder of bridge crane. By this method,optimization time shortened,and a decrease in mass of girder of bridge crane by 14. 84%

ANALYSIS ON RESPONSE OF TOWER CRANE STRUCTURES UNDER RANDOM EARTHQUAKE EXCITATIONS

Based on the theory of random vibration,the dynamic response on tower crane under random seismic excitation was investigated. The input of earthquake ground motion is indicated by Duxiuli-Chenhouqun power spectral. The random seismic responses of structural ’s force and displacement were researched under five different earthquake model input with uniform earthquake excitations method. The analysis reveals that the force of tower crane increase significantly under vertical seismic excitation than X-direction,Z-direction excitation have the greatest influence in tower body bending moment; the primary reason of tower arm fracture is vertical seismic action,too large seismic wave cause tower body capsized easily

Study on Lesion Assessment of Cerebello-Thalamo-Cortical Network in Wilson’s Disease with Diffusion Tensor Imaging

Wilson’s disease (WD) is a genetic disorder of copper metabolism with pathological copper accumulation in the brain and any other tissues. This article aimed to assess lesions in cerebello-thalamo-cortical network with an advanced technique of diffusion tensor imaging (DTI) in WD. 35 WD patients and 30 age- and sex-matched healthy volunteers were recruited to accept diffusion-weighted images with 15 gradient vectors and conventional magnetic resonance imaging (MRI). The DTI parameters, including fractional anisotropy (FA) and mean diffusion (MD), were calculated by diffusion kurtosis estimator software. After registration, patient groups with FA mappings and MD mappings and normal groups were compared with 3dttest and receiver-operating characteristic (ROC) curve analysis, corrected with FDR simulations (p=0.001, α=0.05, cluster size = 326). We found that the degree of FA increased in the bilateral head of the caudate nucleus (HCN), lenticular nucleus (LN), ventral thalamus, substantia nigra (SN), red nucleus (RN), right dentate nucleus (DN), and decreased in the mediodorsal thalamus and extensive white matter. The value of MD increased in HCN, LN, SN, RN, and extensive white matter. The technique of DTI provides higher sensitivity and specificity than conventional MRI to detect Wilson’s disease. Besides, lesions in the basal ganglia, thalamus, and cerebellum might disconnect the basal ganglia-thalamo-cortical circuits or dentato-rubro-thalamic (DRT) track and disrupt cerebello-thalamo-cortical network finally, which may cause clinical extrapyramidal symptoms