The digital economy (DE) and real economy (RE) are dual pillars of the modern economic system. The deep integration of the digital economy and real economy (IDR) has emerged as a pivotal strategic trend. IDR not only can enhance international competitiveness but also contributes to sustainable development goals. This work collects DE and RE data from 30 provinces in China between 2012 and 2022. The entropy weight method and the coupling coordination degree (CCD) model are employed to measure the level of IDR. Furthermore, the Dagum Gini coefficient, Kernel density estimation, the spatial autocorrelation model, and the geographically and temporally weighted regression (GTWR) model are utilized to analyze the spatial–temporal evolution and influencing factors of CCD. The following conclusions are drawn: (1) During the study period, CCD shows an upward trend, but the value is relatively low. (2) There are significant spatial differences in CCD, and the inter-regional difference is the primary cause. (3) The regional differences in CCD are continuously widening. (4) CCD shows an obvious global spatial agglomeration feature, and the spatial agglomeration degree of CCD has been enhanced from 2012 to 2022. (5) The policy intensity, digital infrastructure, industrial structure, human capital, technological innovation, and market environment have significant impacts on CCD. The obtained findings provide important theoretical support for the coordinated development of DE and RE.

The reinforced concrete (RC) frame with masonry infill wall is one of the most common structural systems in many countries. It has been widely recognized that the infill wall has significant effects on the seismic performance of RC frame structure. During the Wenchuan earthquake (China 2008), a lot of infilled RC frame structures suffered serious damages due to the detrimental effects brought about by the infill wall rigidly connected to the surrounding frame. In order to solve this problem, flexible connection, introduced by Chinese designers, is recommended by the updated Chinese seismic design code, because of its effect to reduce the unfavorable interaction between infill wall and frame. Although infilled RC frame structure with flexible connection has a lot of advantages, but because of the lack of research, this structure type is seldom used in practical engineering. Therefore, it is of great significance to scientifically investigate and analyze the effects of flexible connection on structure behaviors of infilled RC frame. In this study, a macrofinite element numerical simulation method for infilled RC frame with flexible connection was investigated. Firstly, the effects of connection between infill wall and surrounding frame on in‐plane behaviors of infilled RC frame were discussed. Secondly, based on deeply studying the equivalent diagonal strut models for infilled RC frame with rigid connection, an improved equivalent diagonal strut model for infilled RC frame with flexible connection was proposed. Employed with inversion analysis theory, the parameter in the proposed model was estimated through artificial fish swarm algorithm. Finally, applied with the existing experiment results, a case study was conducted to verify the effectiveness and feasibility of the proposed model.

The artificial fish swarm algorithm adopts a new top-down way of think-ing,starting from the realization of individual behaviors of artificial fish and then re-aching the global optimum of the group through the local optimization of fish individuals of the group.Based on the finite element analysis softwareMSC.Marc, this article makes inversion analysis for mechanical parameters of dam.By combining the monitoring data of a dam,inversion analysis [ is made on the elastic modulus of the dam body,dam foundation,both dam shores and the fault fracture zone by using the artificial fish swarm algorithm.Results show that using artificial fish swarm algorithm to make inversion analysis on dam mechanical parameters not only has faster con-vergence rate but also have higher accuracy.