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Due to the high specific stiffness, high specific strength, good fatigue resistance and high structural reliability, the integrally stiffened shells are widely applied in the sealed cabins. In order to enhance the detection distance of the deep space and improve the payload detection capability, it is of great significance to carry out lightweight design for the integrally stiffened shells. However, it is challenging to perform optimization for the structures due to the strict loading conditions, complicated structures and short development cycles. In this work, a novel layout design framework for the integrally stiffened shells under complex loading conditions is proposed. The topology optimization method is employed to obtain an innovative layout design of the integrally stiffened shells firstly, and then the mesh-mapping technique is utilized to assist the reconstruction and modeling process of the optimization result. Compared with the traditional design of orthogonal stiffeners, the weight of the optimized configuration of the integrally stiffened shell reduces by 17.1%, demonstrating excellent lightweight design effects. Moreover, a sealed cabin is constructed based on the optimization and numerical analysis result by taking the manufacturing requirement into consideration. With the purpose of assessing the bearing ability of the welded seam and evaluating the airtight performance of the sealed cabin, experimental validations of the hydrostatic test and airtight test are carried out, and the experimental results validate the applicability and effectiveness of the proposed framework.

Reducing exploration risks and realizing scientific prospecting always have been frontier fields and research hotspots in the world of mineral exploration, the theory and method of ore prospecting prediction for exploration area is the valid channel to deal with this problem. Using this method, a geological model of ore prospecting can be established by combining the internal (geochemical behavior of elements) and external (types of geological processes) control factors for mineralization. The main components of the prospecting prediction model include geological bodies related to mineralization, metallogenetic structure planes and mineralization characteristics. Together with the results of special geological mapping, geophysical and geochemical exploration on large scale, orebodies have been located by synthetic information and explored by drilling. Case studies of the Lala copper deposit in Sichuan, Muhu–Maerkantu manganese ore deposit in Xinjiang and Aonaodaba tin-polymetallic deposit in Inner Mongolia, illustrate the effective application of this method in ore prospecting prediction.

Geogas-carried metal prospecting, an integral part of deep-penetrating geochemistry, is potentially effective in the geochemical exploration of concealed ore deposits. However, its principles and applicability remain controversial. This study summarizes and discusses the progress in geogas-carried metal prospecting in China. The method comprises three constituents: geogas, nanoparticles, and their vertical transportation. Researchers have failed to determine the exact contributions of different sources of geogas. Studies on Pb isotopes, rare earth element patterns of geogas, the comparisons between metals in soil, geogas, and ore geochemistry, and characteristics of nanoscale metals in earthgas (NAMEG), confirmed the relationship between NAMEG and concealed ore deposits. A statistical analysis of field experiments and applications showed that geogas-carried metal prospecting is applicable for the geochemical exploration of magmatic and hydrothermal Cu, Au, Zn, Pb, U, Sn, and Ag deposits and is suitable for most geochemical landscapes except deserts and cold swamps. Finally, genetic models of NAMEG anomalies were constructed. High-permeability migration channels are critical in the formation of NAMEG anomalies over concealed ore deposits. Future work entails applying geogas-carried metal prospecting to certain types of ore deposits and geochemical landscapes and studying NAMEG to provide quantitative information for targeting concealed ore deposits. [ABSTRACT FROM AUTHOR]