With the development of economy, steel structure is more and more widely applied in China. With the deepening of sustainable development, the industrialization of construction become more and more hot in construction industry. Steel Structure is expected to be an important building material of industrialization. Obviously steel structure has been a main forms using in China. According to the characteristics of steel structure, smart material of BIM and RFID can be chosen as a new integration. This smart material can be used to solve the key technology of lifecycle management and information is shared, exchange with each other between participants during each stage.

Full scale Ningxia super high-rise steel TV tower (NXTVT) model is established in the numerical simulation to investigate the flow field around it. And then, the UDF program of mean wind section plane, turbulence kinetic energy and turbulence dissipation rate were compiled. The flow fields under these two typical inflow conditions, 30 degree is chosen as the field measurement data. The results show that both the RNG model and the Realizable model can simulate the distribution rule and similarity. Both can give reasonable turbulence kinetic energy distribution in the region of windward sharp edge, where flow separation occurs. Subsequently, the mean pressure field with certain precision can be obtained in the highly turbulent negative pressure region.

A new lateral force resisting system (LFRS), referred to as the monolayer cable-stayed steel moment resistant frame (MCSMRF) system, is proposed in order to improve capacity of original MRF system and reduce lateral displacement of the system effectively. The MCSMRF integrates the respective advantages of both the steel moment resistant frame (MRF) and inclined cables, Likewise, the CSMRF renders both the dual seismic defense line and self-centering capacity. The working mechanism of the CSMRF are introduced. Secondly, the floor displacement (relative to the ground) approximation formula is developed for the MCSMRF under the lateral loading. Eventually, the numerical analysis is made of the MCSMRF with resorting to the developed approximation formula. The results show that the interstorey drift and the floor displacement significantly reduce with respect to the original steel MRF. Approximate calculation formula of elastic floor displacements can provide a theoretical basis for the preliminary design of its components.

With the rapid development of information science and technology, data-driven approaches are already being the research tide in many fields. BP neural network (BPNN), support vector machine (SVM) and least squares support vector machine (LS-SVM) are introduced and adopted to simulate fluctuating time-series wind speeds in this paper. The regression-prediction models developed by implementing machine interpolation learning are established respectively. And the original speeds used as learning and forecast samples for the simulation of the data-driven approaches are obtained through AR numerical modeling. Based on the comparison of evaluation index, the results show that the simulated fluctuating wind speeds through SVM and LS-SVM are more accurate than the simulated speeds through BPNN, but the simulation time of LS-SVM and BPNN are shorter than the SVM.

Abstract. A 2.4 GHz microstrip antenna with compact structure for IoTs applications is presented. A parallel resonant capacitor is introduced to miniaturize the size of 2.4 GHz antenna, and to expand the frequency bandwidth, a quasi-dipole is designed on the opposite layer of the L-shaped microstrip antenna. Moreover, the antenna gain is also increased by using this method. In order to examine the feasibility of the proposed structure, a new type of 2.4 GHz microstrip antenna is designed, fabricated, and measured. The experimental results of the fabricated circuit show broad bandwidth of 122MHz and a relative high antenna gain of 2.42 dBi.