Determination of prestressing levels for cable trusses as a function of their stability
The stability of prestressed cable trusses subjected to static and dynamic loads is analysed in the paper. The stiffness of the elastic cable truss system was varied by changing the prestressing force. Modelling results for different levels of tension show that, in terms of satisfying dynamic resistance conditions, a much greater tensile force is required for cable grids with diagonal members, compared to those with vertical rods. The conclusions derived constitute recommendations for the use of calculation methods, as well as for the determination of prestressing forces under which stability criteria are fulfilled.
Experimental study on wheel-spoke crossed cable structures
Wheel-spoke crossed cable structure is a new type of cable-strut structure. In this article, the tension forming and static performance of wheel-spoke crossed cable structure are experimentally investigated by testing four scale models under full-span and half-span downward uniform load, and the effect of structural parameters including variable prestress level, height difference between inner ring and outer ring, and layer height of inner ring is studied by finite element method as well. The test results indicate that radial cables tensioning scheme is effective for wheel-spoke crossed cable structure to reach initial prestress state, and wheel-spoke crossed cable structure possesses excellent load-carrying capacity and structural stiffness since internal forces and vertical displacements of models vary almost linearly under such load cases. Moreover, the static test results are in good agreement with the finite element analysis results, confirming that the model design, measurement methods, and loading schemes are reasonable. Therefore, the results of this study can provide valuable reference for the design and application of wheel-spoke crossed cable structure.
Evidence of spurious results along with spatially autocorrelated errors in the context of geographically weighted regression for two independent SAR(1) processes
AbstractThe aim of this paper is to examine the performance of the geographically weighted regression (GWR) technique in terms of recognizing linear relationships at the local level. Using a Monte Carlo analysis with two independent spatially autocorrelated SAR(1) processes, this study finds that spurious behavior exists at the local level along with spatially autocorrelated errors. Therefore, GWR estimation results must be interpreted with caution.
