Special Issue on “Analysis on Structural Performance”

Structural performance is the most important index to declare the stability, safety and durability of structures in practical engineering. The performance degradation of structures becomes more and more common with the increase of service life. To ensure the safe operation of structures, the hot research has gradually changed from large-scale construction to the detection, repair, reinforcement, renovation and maintenance

Advances of strain transfer analysis of optical fibre sensors

AbstractThe test precision optical fibre sensors are increasingly important due to the widespread application of optical fibre sensing technology in structural health monitoring. Strain transfer analysis, which can be used to determine the action mechanism and to improve the precision of these sensors, is therefore an important issue. The earliest research started in the 1990s, and many excellent achievements have been obtained based on traditional elastic theory and stress transfer analysis of composites. A variety of strain transfer deductions appear to describe the differences in the mechanical models, assumptions and boundaries. A comprehensive discussion and brief review of representative strain transfer analyses is conducted, and some problems that urgently need to be addressed are stated. In addition, the developing trends in this subject are mentioned. The work in this article provides valuable guidance for understanding the research advances in strain transfer analysis, which will ultimately serve for the strain transfer error modification of optical fibre sensing models

Text-to-3D using Gaussian Splatting

In this paper, we present Gaussian Splatting based text-to-3D generation (GSGEN), a novel approach for generating high-quality 3D objects. Previous methods suffer from inaccurate geometry and limited fidelity due to the absence of 3D prior and proper representation. We leverage 3D Gaussian Splatting, a recent state-of-the-art representation, to address existing shortcomings by exploiting the explicit nature that enables the incorporation of 3D prior. Specifically, our method adopts a progressive optimization strategy, which includes a geometry optimization stage and an appearance refinement stage. In geometry optimization, a coarse representation is established under a 3D geometry prior along with the ordinary 2D SDS loss, ensuring a sensible and 3D-consistent rough shape. Subsequently, the obtained Gaussians undergo an iterative refinement to enrich details. In this stage, we increase the number of Gaussians by compactness-based densification to enhance continuity and improve fidelity. With these designs, our approach can generate 3D content with delicate details and more accurate geometry. Extensive evaluations demonstrate the effectiveness of our method, especially for capturing high-frequency components. Video results are provided at https://gsgen3d.github.io. Our code is available at https://github.com/gsgen3d/gsgenComment: Project page: https://gsgen3d.github.io. Code: https://github.com/gsgen3d/gsge

A Spatiotemporal-chaos-based Encryption Having Overall Properties Considerably Better Than Advanced Encryption Standard

Spatiotemporal chaos of a two-dimensional one-way coupled map lattice is used for chaotic cryptography. The chaotic outputs of many space units are used for encryption simultaneously. This system shows satisfactory cryptographic properties of high security; fast encryption (decryption) speed; and robustness against noise disturbances in communication channel. The overall features of this spatiotemporal-chaos-based cryptosystem are better than chaotic cryptosystems known so far, and also than currently used conventional cryptosystems, such as the Advanced Encryption Standard (AES).Comment: 11 pages, 3 figure