Article
Geochemistry & Geophysics
Zhiqiang Lan, Peng Gao, Peng Wang, Yaojun Wang, Jiandong Liang, Guangmin Hu
Summary: Accurate first arrival picking is crucial in microseismic data processing. This article proposes an automatic method based on FCM and AIC, consisting of clustering, rough picking, and adjusting. Experimental results demonstrate the method's superiority over other approaches.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Mechanical
Haoda Li, Zhensheng Yang, Wei Yan
Summary: This article introduces an improved AIC onset-time picking method based on regression convolutional neural network (CNN) to address the accuracy issues caused by background and static noise interference in acoustic emission (AE) signals. Through experiments and comparative analysis, it is proven that the proposed method outperforms other methods in terms of accuracy and stability, especially in low signal-to-noise ratio scenarios.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Mathematical & Computational Biology
Xiaoming Lu, Thierry Chekouo, Hua Shen, Alexander R. de Leon
Summary: In this article, a two-level copula joint model is proposed to analyze clinical data with multiple disparate continuous longitudinal outcomes and multiple event-times in the presence of competing risks. The model constructs submodels for the observed event-time and longitudinal outcomes using a copula and Gaussian copula respectively, and combines them in a joint model that incorporates conditional dependence. Linear quantile mixed models are proposed to accommodate skewed data and examine covariate effects. Bayesian framework and Markov Chain Monte Carlo sampling are used for model estimation and inference. Simulation study and analysis of clinical data on renal transplantation demonstrate the superior performance of the proposed method compared to conventional approaches.
STATISTICS IN MEDICINE
(2023)
Article
Green & Sustainable Science & Technology
Yangyang Xie, Saiyan Liu, Shengzhi Huang, Hongyuan Fang, Maohua Ding, Chengjian Huang, Teng Shen
Summary: This study proposes a local trend analysis method called PLRHT for the nonstationary analysis of hydrological time series. The PLRHT method accurately detects change points and quantitatively analyzes the impact of trends and abrupt changes on mean value variations. Moreover, the local trend analysis allows for a deeper causality analysis of nonstationarity in hydrological time series.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Astronomy & Astrophysics
Jing Niu, Tong-Jie Zhang
Summary: This study compares the significance of the traditional combined method and Linder's joint method in constraining the density parameter QM. The results show that Linder's joint method is more significant than the traditional combined method.
PHYSICS OF THE DARK UNIVERSE
(2023)
Article
Environmental Sciences
Kazutaka M. Takeshita, Takehiko Hayashi, Hiroyuki Yokomizo
Summary: This study provides an overview of the primary data analysis objectives in the early and late chemical management phases, as well as suitable statistical analysis methods for observational datasets. Examples of linear regression analysis procedures using field survey data from Japanese rivers are presented.
INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT
(2022)
Article
Computer Science, Information Systems
Masoud Fazlalipour Miyandoab, Parviz Nasiri, Ali M. Mosammam
Summary: Recognizing and presenting the appropriate statistical model for time series data is crucial. The Auto Regressive Fractionally Integrated Moving Average (ARFIMA) model is widely used in analyzing economic, meteorological, geographical, and financial data. Parameters of this model, as well as other time series models, are estimated by assuming a constant average. This article introduces Bayesian estimation for the fractional difference parameter (d) in the ARFIMA model, considering an appropriate prior distribution. Simulation and Akaike information criterion (AIC) demonstrate the superior performance of Bayesian estimation compared to other methods. The goodness of fit of the ARFIMA model is evaluated using Bayesian estimation of parameters with a real data set.
INFORMATION SCIENCES
(2023)
Article
Mathematics
Nitzan Cohen, Yakir Berchenko
Summary: This article proposes a new approach that enables the use of classic information criteria for model selection with missing data by normalizing the information criteria theory, which is found to be exponentially better in computational complexity than traditional imputation methods, leading to increased statistical efficiency.
Article
Energy & Fuels
Reza Najafi-Silab, Aboozar Soleymanzadeh, Parvin Kolah-Kaj, Shahin Kord
Summary: Many studies have focused on estimating fluid saturation, an important petrophysical property, in hydrocarbon reservoirs. The cementation factor (m) plays a crucial role in accurately determining water saturation based on Archie's law. This study presents a fast automated version of the electrical quality index (EQI) methodology, using a Gaussian mixture model (GMM) to cluster rock samples into distinct electrical rock types (ERTs) based on EQI values.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2023)
Article
Astronomy & Astrophysics
Aishwarya Bhave, Soham Kulkarni, Shantanu Desai, P. K. Srijith
Summary: This article investigates the classification problem of Gamma-Ray Bursts (GRBs) using a two-dimensional approach combining GRB hardness and duration. The analysis reveals the existence of two or three distinct classes, depending on the dataset and the information theory criteria.
ASTROPHYSICS AND SPACE SCIENCE
(2022)
Article
Multidisciplinary Sciences
Meryem Bekar Adiguzel, Mehmet Ali Cengiz
Summary: Multivariate Adaptive Regression Splines (MARS) is a non-parametric regression analysis method that is useful for model selection in high-dimensional data. It has the advantage of identifying and modeling complex, non-linear relationships between variables without requiring assumptions, as well as automatically selecting variables to simplify the model building process and prevent overfitting.
Article
Food Science & Technology
Jonas Steenholdt Sorensen, Sofie Rugh van Reeuwijk, Roy S. Bartle, Lisbeth Truelstrup Hansen
Summary: The processing of seaweed often involves low-temperature drying to stabilize the product by inactivating and inhibiting the growth of microorganisms. However, Salmonella can survive dry conditions and persist in low-moisture food, which has been linked to foodborne outbreaks from seaweed. This study presents drying and desorption models for Alaria esculenta and a model for the inactivation kinetics of S. Typhimurium during low heat convection drying.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Multidisciplinary
Tong Liu, Cong Han, Qian Lin Wang, Zhen Quan Li, Guoan Yang
Summary: This paper proposes a new AE source location method that combines the two-step Akaike information criterion (AIC) based on the dispersion curve and the time difference matrix (TDM). The results show that the proposed method has higher location accuracy in complex structures and can be used as a reliable tool for AE source location and fault monitoring.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Psychology, Mathematical
Han Du, Brian Keller, Egamaria Alacam, Craig Enders
Summary: In this article, the DIC and WAIC criteria, widely used for Bayesian model assessment and comparison in Bayesian statistics, are studied. Different types of DIC and WAIC are compared using a multilevel mediation model as an example. The performance of conditional and marginal DICs and WAICs, as well as their performance with missing data, are investigated. The study finds that the marginal likelihood based DIC2, which excludes the likelihood of covariate models, generally has the highest true model selection rates.
BEHAVIOR RESEARCH METHODS
(2023)
Article
Geochemistry & Geophysics
Huan YueYang, Chang GuoBin, Feng Yong
Summary: Selecting a suitable noise model is important for extracting velocity signals from GNSS coordinate time series. This study focuses on both optimal and suboptimal noise models using Maximum Likelihood Estimation (MLE) and the Akaike Information Criterion (AIC) for evaluation. Results show that more than half of the coordinate components have suboptimal noise models that perform similarly to the optimal noise model, emphasizing the importance of considering suboptimal noise models in estimating velocity uncertainty.
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
(2023)
Article
Geochemistry & Geophysics
Lei Gao, Haijiang Zhang, Lina Gao, Chuansong He, Hailiang Xin, Weisen Shen
Summary: By jointly using earthquake body wave data and surface wave data, a high-resolution 3D Vs model of the lithosphere in South China was determined. The new joint inversion model improved the resolution and better delineated the sedimentary basins, high velocity root, and velocity variations in the lithosphere. It also contributed to understanding the mechanism of lithosphere thinning.
Article
Geochemistry & Geophysics
Ning Gu, Ji Gao, Bingwen Wang, Renqi Lu, Baojin Liu, Xiwei Xu, Haijiang Zhang
Summary: The Tanlu fault zone (TLFZ) in eastern China, comparable to the San Andreas fault in western United States, plays a significant role in controlling regional tectonics and earthquake activity. This study focuses on the earthquake gap in the Suqian segment, Jiangsu province, where no earthquakes larger than M5.5 have occurred. By obtaining a local velocity model, the researchers were able to characterize the fault structures and gain insight into the factors controlling fault activities along the TLFZ.
Article
Geosciences, Multidisciplinary
Andrea Navarro-Aranguiz, Diana Comte, Marcelo Farias, Steven Roecker, Daniela Calle-Gardella, Haijiang Zhang, Lei Gao, Andreas Rietbrock
Summary: We analyzed records of ambient seismicity from Central Chile to investigate mechanisms of tectonic erosion and accretion in an Andean margin. Our results suggest that the development of a basal accretionary complex by subduction erosion could be responsible for the uplift of Coastal Cordillera in Central Chile, and the retroshear zone of the subduction wedge is controlled by local conditions inside the mantle wedge.
JOURNAL OF SOUTH AMERICAN EARTH SCIENCES
(2022)
Article
Geochemistry & Geophysics
Shaobo Yang, Haijiang Zhang, Ning Gu, Ji Gao, Jian Xu, Jiaqi Jin, Junlun Li, Huajian Yao
Summary: In this study, a novel method named DisperPicker is proposed to automatically extract high-resolution crustal and upper-mantle structures using a convolutional neural network (CNN). By extracting surface-wave group and phase velocity dispersion curves from continuous ambient noise recordings, this method enables accurate imaging of geological structures, while reducing the labor-intensive and time-consuming manual analysis process.
SEISMOLOGICAL RESEARCH LETTERS
(2022)
Article
Geosciences, Multidisciplinary
Kangdong Wang, Jiawei Qian, Haijiang Zhang, Ji Gao, Dachao Bi, Ning Gu
Summary: This study combines the SPAC method and station autocorrelation method to detect an abandoned mine tunnel using ambient noise recordings. The results show that the combination of these two methods can effectively image subsurface velocity structures and identify the location of the tunnel.
JOURNAL OF APPLIED GEOPHYSICS
(2022)
Article
Geosciences, Multidisciplinary
Yueqiao Hu, Junlun Li, Haijiang Zhang
Summary: Full waveform inversion (FWI) provides higher resolution subsurface velocity models but is limited by source information and cycle skipping issue. We propose a novel method called Waveform Energy Focusing Tomography (WEFT) which directly back-propagates seismic records and updates velocity models by maximizing waveform energy. Compared to FWI, WEFT has lower nonlinearity and higher adaptability.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Geochemistry & Geophysics
Yuyang Tan, Huilin Xing, Zongwei Jin, Jianchao Wang, Shuo Pang, Hao Guo, Haijiang Zhang, Lei Gao
Summary: This study applied a Vp/Vs model-consistency constrained double-difference seismic tomography method to investigate the cause of an earthquake in the Pacific coast of northeastern Japan and its aftershocks. The findings suggest that the earthquake sequence is likely the result of the reactivation of a pre-existing fault caused by dehydration of the mantle serpentines. The velocity structures at the hypocenter areas also contribute to the understanding of the nucleation process of the earthquake sequence.
EARTH AND PLANETARY SCIENCE LETTERS
(2022)
Article
Geochemistry & Geophysics
Shoucheng Han, Haijiang Zhang, Lei Gao, Ying Liu, Chengping Chai, Monica Maceira
Summary: A new joint inversion method has been developed to update earthquake locations and constrain three-dimensional velocity models by incorporating body wave arrival times, surface wave dispersion, and receiver functions. This algorithm reduces non-uniqueness in inversions and improves the determination of smooth velocity variations and discontinuities. Synthetic tests show the advantages of the method in resolving velocity structures, particularly in constraining velocity gradients across the Moho interface. The method has been applied to image the lithosphere velocity structure of south China, resulting in well-fitting models and detailed analysis of velocity gradients across the Moho interface.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2022)
Article
Geosciences, Multidisciplinary
Jiawei Qian, Kangdong Wang, Haijiang Zhang, Yuyang Tan, Chuanjian Xu, Qingsong Wang, Qiangqing Xiong, Michal Malinowski
Summary: Microseismic monitoring is used to monitor the instability of cavern roof in solution salt mining. Two distinct events are detected, with the first event corresponding to fracturing processes on the cavern roof, and the second event corresponding to rock debris falling and colliding. Detailed analysis of the paired signals provides a better understanding of the cavity development status in solution salt mining.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Multidisciplinary Sciences
Zengqian Hou, Qingfei Wang, Haijiang Zhang, Bo Xu, Nian Yu, Rui Wang, David Groves, Yuanchuan Zheng, Shoucheng Han, Lei Gao, Lin Yang
Summary: Multidisciplinary research reveals the formation process of orogenic gold deposits, including mantle partial melting, basic magma ponding, and ore fluid release at the base of the crust. This study focuses on the Ailaoshan gold belt in Tibet and demonstrates that crust-mantle decoupling and vertical heat-flow conduits control orogenic gold mineralization. The lithospheric architecture characterized by decoupled deformation and vertical conductor observed in the Moho suggests the ponding of mantle-derived melts, and noble gas isotope and halogen ratios indicate a mantle source of ore fluid.
NATIONAL SCIENCE REVIEW
(2023)
Article
Geochemistry & Geophysics
Yuyang Tan, Jiawei Qian, Jun Hu, Haijiang Zhang, Huilin Xing, Junlun Li, Jian Xu, Wen Yang, Ning Gu, Siyu Miao
Summary: Seismic activity near shale gas fields in the Sichuan Basin of China has increased significantly, but it is difficult to directly link it with hydraulic fracturing stimulation due to the lack of public industrial stimulation data. Understanding subsurface fluid distribution can help address this issue. This study uses seismic tomography methods to build three-dimensional models and characterizes fluid distributions beneath the shale gas field.
EARTH AND PLANETARY SCIENCE LETTERS
(2023)
Article
Multidisciplinary Sciences
Haijiang Zhang, Qing-Tian Lue, Xiao-Lei Wang, Shoucheng Han, Lijun Liu, Lei Gao, Rui Wang, Zeng-Qian Hou
Summary: We use a new joint seismic inversion algorithm to image tabular high-velocity anomalies at depths of 90-150 km in the asthenosphere beneath the convergent belt between the Yangtze and Cathaysia blocks. These anomalies are interpreted as partially destabilized lower lithosphere that initially delaminated around 180-170 Ma and has relaminated to their original position. We conclude that delamination is the most plausible mechanism for the lithospheric modification and the formation of a Mesozoic Basin and Range-style magmatic province in South China.
NATURE COMMUNICATIONS
(2023)
Article
Environmental Sciences
Junlun Li, Jian Xu, Haijiang Zhang, Wen Yang, Yuyang Tan, Fengshou Zhang, Lingyuan Meng, Yang Zang, Siyu Miao, Chang Guo, Zhenyue Li, Renqi Lu, Jianbao Sun
Summary: Moderate to strong earthquakes induced by shale gas development are found to occur near target shale formations along high seismic velocity boundaries. The magnitudes and co-seismic slip distributions of specific earthquakes are determined by seismic waveforms and InSAR data, showing correlation with high seismic velocity zones along fault planes. Thus, understanding the distribution of high velocity zones and stress state modulated by hydraulic fracturing is critical for understanding the seismic potentials of hydraulic fracturing.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Geochemistry & Geophysics
Yuqi Huang, Max Moorkamp, Ji Gao, Haijiang Zhang
Summary: On 3 August 2014, a destructive earthquake occurred in Ludian, Yunan, China, resulting in significant casualties. To understand the seismogenic structure of this earthquake, the study developed a three-dimensional joint inversion algorithm combining magnetotelluric data and seismic body wave arrival times. The models generated from this algorithm revealed low Vp/Vs ratios and resistivity in the upper crust of the main shock zone, as well as the presence of cracks/fractures, fluids, and high quartz contents. These findings suggest that fluids and high quartz contents may have played a role in promoting the Ludian earthquake. This study provides new evidence on how crustal properties influence the genesis of moderate to large earthquakes.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Article
Environmental Sciences
Zeng-Qian Hou, Bo Xu, Haijiang Zhang, Yuan-Chuan Zheng, Rui Wang, Yan Liu, Zhuang Miao, Lei Gao, Zhidan Zhao, William L. Griffin, Suzanne Y. O'Reilly
Summary: Rare earth element ore deposits in southwestern China are associated with carbonatite derived from the mantle, but the formation of carbonatite and the processes of rare earth element enrichment and transport in the mantle are not yet fully understood. By combining seismic tomography with geochemical data, we have obtained images of the lithospheric structure of a Cenozoic rare earth element ore belt in southwestern China. The subduction of the Indian continent led to vertical upwelling and lateral flow of the asthenosphere, triggering melting of the overlying subcontinental lithospheric mantle and the formation of carbonatite. This metasomatism of the mantle, previously influenced by fluids from recycled marine sediments, is a critical precursor process for the formation of giant rare earth element systems. The key factors for the formation of the studied ore belt include a thick lithosphere with a continental root, prior rare earth element enrichment of the subcontinental lithospheric mantle, and a weak pathway for magma ascent.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Acoustics
Maxwell J. Kiernan, Rashid Al Mukaddim, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese
Summary: In this study, a method for automatically determining bounding boxes and lumen segmentation using a Mask R-CNN network trained on sonographer assisted groundtruth carotid lumen segmentations is presented. This method is of great importance for analyzing ultrasound images that require time and labor, and it also lays the foundation for developing accurate plaque segmentation and wall thickness measurement methods.
Article
Acoustics
Junzhen Wang, Jianmin Qu
Summary: This article presents the solution to guided wave fields in a double-layer plate and proposes a nonlinear spring-interface model for the bonding between the two sublayers. The study finds that the nonlinearity of the spring-interface can generate resonant guided waves in the double-layer plate, providing a theoretical foundation for the development of nondestructive evaluation techniques using nonlinear guided waves.
Article
Acoustics
Shuyuan Ye, Tianyu Peng, Zhili Long, Zhiming Jiang, Xiangqing Li, Zhonghua Cao
Summary: In this study, a novel approach based on beating vibration model is proposed for frequency tracking, which accurately determines the resonant frequency of the transducer in a short time.
Article
Acoustics
Shuling Gao, Rui Zhang, Zheng Fan, Ning Li, Yanan Yue, Lili Xie
Summary: In this study, a novel method is proposed to monitor fatigue damage in welded joints by computing the energy density in the diffuse ultrasonic signal. The results indicate that the correlation coefficient of the energy density exhibits a significant decreasing trend when crack initiation occurs, providing a unique signal to indicate crack initiation in welded joints.
Article
Acoustics
Ata Jafarzadeh, Peter D. Folkow, Anders Bostrom
Summary: This study investigates the scattering of elastic waves by an anisotropic sphere with orthorhombic symmetry inside an isotropic medium, and applies it to the characterization of polycrystalline materials with anisotropic grains. The expansion coefficients of the wave and displacement field are determined inside the sphere using recursion relations and boundary conditions. The T matrix elements are then obtained and used to analyze the attenuation and phase velocity of polycrystalline materials, particularly at low frequencies. The proposed approach shows good agreement with previous results and finite element method for strongly anisotropic materials.
Article
Acoustics
F. R. Akhmedzhanov, M. I. Elboeva, S. Z. Mirzaev
Summary: The dependence of elastic and acousto-optic properties on the direction of wave vector and polarization of acoustic and optical waves in lead molybdate crystals has been investigated. Effective photoelastic constants were determined using the Dixon method for different geometries of Bragg light diffraction. The study of the acousto-optic quality factor dependence on the direction of the wave vector of longitudinal acoustic waves in the symmetry plane revealed that the maximum and minimum values are observed when light is diffracted by pure longitudinal waves in this plane. Additionally, it was found that the acousto-optic quality factor in lead molybdate crystals is practically the same as in paratellurite crystals.
Article
Acoustics
H. Franklin
Summary: This paper investigates the interaction between double porosity distributed cylindrical bodies and the surrounding fluid using a generalized self consistent method. The study reveals that there is a correlation between the propagating waves and the effective quantities at low frequencies, which is influenced by the volume fraction of scatterers and the porosity.
Article
Acoustics
Yuchen Liu, Mahshid Hafezi, Andrew Feeney
Summary: This study investigates the use of Nitinol, a shape memory alloy, in a Langevin power ultrasonic transducer to mitigate the influence of temperature on device performance. The results demonstrate that by controlling the microstructure of Nitinol, the nonlinear softening of the piezoelectric stack can be reduced, leading to higher and more stable vibration amplitudes. Furthermore, the use of Nitinol allows for stable resonance frequency and performance even with temperature changes and continuous operation.
Article
Acoustics
Shrutika Sharma, Vishal Gupta, Deepa Mudgal
Summary: Poly Lactic Acid (PLA) based bone plates fabricated using Fused Deposition Modeling can have improved mechanical strength by biocompatible polydopamine (PDM) coating. The effect of ultrasonic assisted coating parameters on tensile strength of coated bone plates was investigated and compared using Response Surface Methodology (RSM) and machine learning (ML) models. The gradient boosting regression (GBReg) model outperformed other models in terms of accuracy and prediction performance for predicting the tensile strength of PDM coated bone plates.
Article
Acoustics
Kirill Kolesnik, Vijay Rajagopal, David J. Collins
Summary: Superstrate-based acoustofluidic devices offer advantages of cost, interchangeability and prevention of contamination between samples. This study analyzes the coupling layers and superstrate dimensions for efficient sound transmission, finding that a superstrate thickness of 0.55 times the acoustic wavelength maximizes acoustic coupling.
Article
Acoustics
Dingpeng Wang, Xiaocen Wang, Shili Chen, Jian Li, Lin Liang, Yang Liu
Summary: This paper proposes an end-to-end ultrasonic guided wave joint learning imaging method for sparse and limited-view transducer arrays, which significantly improves the quality of imaging results by integrating sparse feature reconstruction and deep learning imaging methods.
Article
Acoustics
Zubeir M. Ebrahim Saib, Anthony J. Croxford, Bruce W. Drinkwater
Summary: This paper proposes a numerical model using FDTD scheme to solve the nonlinear elastic bulk wave equations, aiming to better understand nonlinear ultrasonic techniques. The model considers material and geometrical nonlinearities and uses a stress-type boundary condition for excitation. Simulation and experimental results validate the effectiveness of the model.
Article
Acoustics
Sol R. Martinez, Emmanuel Odella, Luis E. Ibarra, Arianna Sosa Lochedino, Ana B. Wendel, Andres M. Durantini, Carlos A. Chesta, Rodrigo E. Palacios
Summary: Sonodynamic inactivation (SDI) has an advantage over optical excitation-based protocols due to the deeper penetration of ultrasound (US) excitation. In this study, we applied conjugated polymer nanoparticles (CPNs) as an efficient sonosensitizer (SS) in SDI of pathogens and characterized the sonoreactor. We found that CPNs have a germicidal effect on planktonic cultures and mature biofilms, highlighting their potential for novel inactivation protocols.
Article
Acoustics
Quentin Baudis, Tony Valier-Brasier, Regis Wunenburger
Summary: In this study, we present a detailed procedure for measuring the rheological properties of soft, highly attenuating, visco-elastic materials at ultrasonic frequencies. We use a crosslinked Polyurethane (PU) elastomer as an example and determine its complex longitudinal modulus M and shear modulus G as a function of frequency and temperature. The results show that M, G, and bulk modulus K obey the time-temperature superposition principle and can be accurately described using a fractional derivative rheological model.
Article
Acoustics
Richard E. Jacob, Matthew S. Prowant, Chris A. Hutchinson
Summary: Ultrasonic inspection of cast austenitic stainless steel (CASS) in the nuclear industry is challenging due to sound field scatter and attenuation caused by the coarse-grained microstructure. Modeling and simulation are important tools for addressing key aspects of inspections, but developing a useful and reliable CASS model is challenging. This study demonstrates a method of creating a realistic CASS model and compares it with laboratory-measured sound fields, showing promising results.