Aiming to reduce noise pollution level, this work proposes a novel method of rationalizing the layout design of sound-absorption materials adhered to structural surfaces. The isogeometric boundary element method is applied to perform acoustic analysis directly from the Computer-Aided Design models which are built by Catmull-Clark subdivision surfaces. Based on the acoustic simulation and sensitivity analysis results, we employ the density-based topology optimization method to optimize the distribution of sound-absorption materials. A car model is used in the numerical example to demonstrate the effectiveness of the present method.
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Haojie Lian1,2, Leilei Chen2,3, Xiao Lin4, Wenchang Zhao5,*, Stephane P. A. Bordas6,7, Mingdong Zhou8,*
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 1-18, 2022, DOI:10.32604/cmes.2022.019705
（This article belongs to this Special Issue: Recent Advance of the Isogeometric Boundary Element Method and its Applications)
Abstract This paper proposes a novel optimization framework in passive control techniques to reduce noise pollution. The
geometries of the structures are represented by Catmull-Clark subdivision surfaces, which are able to build gap-free
Computer-Aided Design models and meanwhile tackle the extraordinary points that are commonly encountered
in geometric modelling. The acoustic fields are simulated using the isogeometric boundary element method, and a
density-based topology optimization is conducted to optimize distribution of sound-absorbing materials adhered
to structural surfaces. The approach enables one to perform acoustic optimization from Computer-Aided Design
models directly without needing meshing and volume parameterization, thereby avoiding the geometric errors… More >
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EDITORIAL
Honghao Gao1,2, Jung Yoon Kim2,*, Yuyu Yin3
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 19-21, 2022, DOI:10.32604/cmes.2022.019665
（This article belongs to this Special Issue: Innovation and Application of Intelligent Processing of Data, Information and Knowledge in E-Commerce)
Abstract This article has no abstract. More >
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EDITORIAL
Qi Liu1,*, Xiaodong Liu2, Radu Grosu3, Ching-Nung Yang4
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 23-26, 2022, DOI:10.32604/cmes.2022.020646
（This article belongs to this Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)
Abstract This article has no abstract. More >
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EDITORIAL
Kai Long1,*, Xiaodong Huang2, Zunyi Duan3, Xuan Wang4, Quhao Li5
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 27-29, 2022, DOI:10.32604/cmes.2022.020822
（This article belongs to this Special Issue: Novel Methods of Topology Optimization and Engineering Applications)
Abstract This article has no abstract. More >
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Qingzhuo Chi1, Huimin Chen1, Shiqi Yang1, Lizhong Mu1,*, Changjin Ji2, Ying He1, Yong Luan3
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 31-47, 2022, DOI:10.32604/cmes.2022.018286
（This article belongs to this Special Issue: Recent Advances in Biomechanics and Biomimetic Mechanics)
Abstract Cardiovascular computational fluid dynamics (CFD) based on patient-specific modeling is increasingly used to predict changes in hemodynamic parameters before or after surgery/interventional treatment for aortic dissection (AD). This study investigated the effects of flow boundary conditions (BCs) on patient-specific aortic hemodynamics. We compared the changes in hemodynamic parameters in a type A dissection model and normal aortic model under different BCs: inflow from the auxiliary and truncated structures at aortic valve, pressure control and Windkessel model outflow conditions, and steady and unsteady inflow conditions. The auxiliary entrance remarkably enhanced the physiological authenticity of numerical simulations of flow in the ascending… More >
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ARTICLE
Songlin Yang1,2, Xingjin Han1,2, Chufeng Kuang1,2, Weihua Fang3, Jianfei Zhang4, Tiantang Yu4,*
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 49-72, 2022, DOI:10.32604/cmes.2022.018325
（This article belongs to this Special Issue: Hybrid Intelligent Methods for Forecasting in Resources and Energy Field)
Abstract The deformation prediction models of Wuqiangxi concrete gravity dam are developed, including two statistical models and a deep learning model. In the statistical models, the reliable monitoring data are firstly determined with Lahitte criterion; then, the stepwise regression and partial least squares regression models for deformation prediction of concrete gravity dam are constructed in terms of the reliable monitoring data, and the factors of water pressure, temperature and time effect are considered in the models; finally, according to the monitoring data from 2006 to 2020 of five typical measuring points including J23 (on dam section ), J33 (on dam section… More >
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ARTICLE
Jia Chen1, Zhiqiang He1, Dayong Zhu1, Bei Hui1,*, Rita Yi Man Li2, Xiao-Guang Yue3,4,5
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 73-95, 2022, DOI:10.32604/cmes.2022.018565
Abstract Medical image segmentation plays an important role in clinical diagnosis, quantitative analysis, and treatment
process. Since 2015, U-Net-based approaches have been widely used for medical image segmentation. The purpose
of the U-Net expansive path is to map low-resolution encoder feature maps to full input resolution feature maps.
However, the consecutive deconvolution and convolutional operations in the expansive path lead to the loss of
some high-level information. More high-level information can make the segmentation more accurate. In this paper,
we propose MU-Net, a novel, multi-path upsampling convolution network to retain more high-level information.
The MU-Net mainly consists of three parts: contracting… More >
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ARTICLE
Shaowei Wang1,2, Cong Xu1, Hao Gu3,*, Pinghua Zhu1, Hui Liu1, Bo Xu4
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 97-117, 2022, DOI:10.32604/cmes.2022.018721
Abstract Many concrete dams seriously suffer from long-term seepage dissolution, and the induced mechanical property deterioration of concrete may significantly affect the structural performance, especially the seismic safety. An approach is presented in this paper to quantify the influence of seepage dissolution on seismic performance of concrete dams. To connect laboratory test with numerical simulation, dissolution tests are conducted for concrete specimens and using the cumulative relative leached calcium as an aging index, a deterioration model is established to predict the mechanical property of leached concrete in the first step. A coupled seepage-calcium dissolution-migration model containing two calculation modes is proposed… More >
Open Access
ARTICLE
Kang Liu, Yanqiao Wang*
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 119-135, 2022, DOI:10.32604/cmes.2022.018134
Abstract Soil slope stability in seasonally frozen regions is a challenging problem for geotechnical engineers. The freeze-thaw process of soil slope caused by the temperature fluctuation increases the difficulty in predicting the slope stability because the soil property is influenced by the freeze-thaw cycle. In addition, the frozen soil, which has ice crystal, ice lens and experienced freeze-thaw process, could present stronger heterogeneity. Previous research has not investigated the combined effect of soil heterogeneity and freeze-thaw cycle. This paper studies the influence of soil heterogeneity on the stability of frozen soil slope under freeze-thaw cycles. The local average subdivision (LAS) is… More >
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ARTICLE
Hilly Gohain Baruah*, Vijay Kumar Nath, Deepika Hazarika
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 137-164, 2022, DOI:10.32604/cmes.2022.018339
Abstract With the increasing popularity of high-resolution remote sensing images, the remote sensing image retrieval (RSIR) has always been a topic of major issue. A combined, global non-subsampled shearlet transform (NSST)-domain statistical features (NSSTds) and local three dimensional local ternary pattern (3D-LTP) features, is proposed for high-resolution remote sensing images. We model the NSST image coefficients of detail subbands using 2-state laplacian mixture (LM) distribution and its three parameters are estimated using Expectation-Maximization (EM) algorithm. We also calculate the statistical parameters such as subband kurtosis and skewness from detail subbands along with mean and standard deviation calculated from approximation subband, and… More >
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