Qunjie Huang¹, Yu Huang², Yangqing Liu², Qiaoming Guo³, Zhiyun Liu^4,*, Haibin Ding⁴, Lihua Li⁵

Structural Durability & Health Monitoring, Vol.20, No.2, 2026, DOI:10.32604/sdhm.2025.073362 - 31 March 2026

Abstract Based on the theory of wave dynamics, this study systematically derives the steady-state analytical solution for the scattering of plane SV-waves by composite lined tunnels in an infinite space using the wave function expansion method. On this basis, a theoretical calculation model for circular composite linings under blast loading is established. Based on the steady-state analytical solution, the δ(x)-function and the Heaviside step function are introduced to construct the Duhamel integral, transforming the transient wave problem into an integral form. By further incorporating the Fourier integral transform, an analytical solution for the transient response around a… More >

Ying Zhu^1,2, Minghui Hu³, Shengxu Wang^1,2, Xiaoliang Dong^3,*, Xuewen Xiao^1,2, Richeng Liu³, Meng Wang^1,2, Zheng Yuan³

CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.2, 2026, DOI:10.32604/cmes.2026.076381 - 26 February 2026

Abstract In-situ enlargement of super-large-span tunnels can intensify excavation-induced unloading in the surrounding rock, increasing deformation demand and failure risk during construction. This study combines laboratory model tests with FLAC3D simulations to evaluate the stabilizing role of prestressed anchor cables and to establish an energy-balance framework for support optimization. Comparative model tests of existing and enlarged tunnel sections, with and without anchors, show that reinforcement increases load-carrying capacity, reduces displacement, and confines damage to more localized zones. The numerical simulations reproduce displacement fields, shear-strain localization, and plastic-zone evolution with good agreement against the experimental observations. The energy More >

Li Wang¹, Xuesong Xing¹, Yanan Hou¹, Heng Wen¹, Ying Zhu¹, Jingyu Zi¹, Qingwei Zeng^2,3,*

Energy Engineering, Vol.123, No.2, 2026, DOI:10.32604/ee.2025.068653 - 27 January 2026

Abstract The deep coal reservoir in Linxing-Shenfu block of Ordos Basin is an important part of China’s coalbed methane resources. In the process of reservoir reconstruction, the artificial fracture morphology of coal seam with gangue interaction is significantly different, which affects the efficient development of coalbed methane resources in this area. In this paper, the surface outcrop of Linxing-Shenfu block is selected, and three kinds of interaction modes between gangue and coal seam are set up, including single-component coal rock sample, coal rock sample with different thicknesses of gangue layer and coal rock sample with different… More >

Alexander V. Savin^1,2, Elena A. Korznikova^3,4, Sergey V. Dmitriev^5,*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.072786 - 09 December 2025

Abstract Due to their chiral structure, carbon nanosprings possess unique properties that are promising for nanotechnology applications. The structural transformations of carbon nanosprings in the form of spiral macromolecules derived from planar coronene and kekulene molecules (graphene helicoids and spiral nanoribbons) are analyzed using molecular dynamics simulations. The interatomic interactions are described by a force field including valence bonds, bond angles, torsional and dihedral angles, as well as van der Waals interactions. While the tension/compression of such nanosprings has been analyzed in the literature, this study investigates other modes of deformation, including bending and twisting. Depending… More >

Ankith P. Maremanda^*, Anna Faris, Benjamin N. Breyer

Canadian Journal of Urology, Vol.32, No.6, pp. 545-550, 2025, DOI:10.32604/cju.2025.064433 - 30 December 2025

Abstract We describe the history of Patient-Reported Outcome Measures (PROMs) in medicine, with a focus on the development and use of the International Index of Erectile Function (IIEF) in urologic practice. PROMs emerged in the 1970s with tools like the Sickness Impact Profile, designed to capture patients’ perspectives on how disease affects daily life. In the 1990s, PROMs entered urology with the creation of the International Prostate Symptom Score (IPSS) and the IIEF, developed in 1992 and 1997, respectively. As organizations such as the National Institutes of Health began prioritizing PROMs for evaluating sexual function, the More >

Saurabh Singh^1,2, Sudip Pandey^3,*, Ankush Kumar Jain¹

Revue Internationale de Géomatique, Vol.34, pp. 899-914, 2025, DOI:10.32604/rig.2025.071156 - 09 December 2025

Abstract Urban expansion in semi-arid regions poses critical challenges for sustainable land management, ecological resilience, and heritage conservation. Jaipur, India—a United Nations Educational, Scientific and Cultural Organization (UNESCO) World Heritage City located in a semi-arid environment—faces rapid urbanization that threatens agricultural productivity, fragile ecosystems, and cultural assets. This study quantifies past and projects future land use/land cover (LULC) dynamics in Jaipur to support evidence-based planning. Using the Dynamic World dataset, we generated annual 10-m LULC maps from 2016 to 2025 within the municipal boundary. Temporal change detection was conducted through empirical transition probability analysis, and future… More >

Zhensen Wei¹, Penghui Jiang^1,*, Zhen Chen²

Revue Internationale de Géomatique, Vol.34, pp. 461-485, 2025, DOI:10.32604/rig.2025.065814 - 29 July 2025

Abstract Urban sprawl affects the sustainable development of the world’s economy and society. Confirming urban sprawl trends and proposing countermeasures have received significant attention. Cities are self-organizing systems with dissipative attributes, and city development is accompanied by urban entropy changes. Urban entropy change reveals the essence of urban sprawl; thus, it can be used to measure urban sprawl and better understand its phenomena. However, the literature on entropy change in urban sprawl research is limited to qualitative descriptions, and no convenient or effective quantitative metrics exist. This study bridges entropy changes and urban form metrics, analyzing… More >

Fan Li¹, Hongxue Liu², Yongsong Li², Leilei Chen², Haojie Lian^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 2785-2809, 2025, DOI:10.32604/cmes.2025.066001 - 30 June 2025

Abstract This study explores a sensitivity analysis method based on the boundary element method (BEM) to address the computational complexity in acoustic analysis with ground reflection problems. The advantages of BEM in acoustic simulations and its high computational cost in broadband problems are examined. To improve efficiency, a Taylor series expansion is applied to decouple frequency-dependent terms in BEM. Additionally, the Second-Order Arnoldi (SOAR) model order reduction method is integrated to reduce computational costs and enhance numerical stability. Furthermore, an isogeometric sensitivity boundary integral equation is formulated using the direct differentiation method, incorporating Cauchy principal value More >

Ibrahim T. Teke^1,2, Ahmet H. Ertas^2,*

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 243-264, 2025, DOI:10.32604/cmc.2025.066086 - 09 June 2025

Abstract This study presents a novel hybrid topology optimization and mold design framework that integrates process fitting, runner system optimization, and structural analysis to significantly enhance the performance of injection-molded parts. At its core, the framework employs a greedy algorithm that generates runner systems based on adjacency and shortest path principles, leading to improvements in both mechanical strength and material efficiency. The design optimization is validated through a series of rigorous experimental tests, including three-point bending and torsion tests performed on key-socket frames, ensuring that the optimized designs meet practical performance requirements. A critical innovation of… More >

Feng Guo, Chen Yang^*, Dezhong Xia, Jingxiang Xu

Energy Engineering, Vol.122, No.5, pp. 1975-1999, 2025, DOI:10.32604/ee.2025.062035 - 25 April 2025

Abstract Short-term photovoltaic (PV) power forecasting plays a crucial role in enhancing the stability and reliability of power grid scheduling. To address the challenges posed by complex environmental variables and difficulties in modeling temporal features in PV power prediction, a short-term PV power forecasting method based on an improved CNN-LSTM and cascade learning strategy is proposed. First, Pearson correlation coefficients and mutual information are used to select representative features, reducing the impact of redundant features on model performance. Then, the CNN-LSTM network is designed to extract local features using CNN and learn temporal dependencies through LSTM,… More > Graphic Abstract