Acta Mechanica Sinica最新文献

{"title":"Magnetic field control of the freely rotating spheroid particle","authors":"Tong-Tong Liu \u0000 (,&nbsp;),&nbsp;Jun-Hua Pan \u0000 (,&nbsp;),&nbsp;Ming-Jiu Ni \u0000 (,&nbsp;)","doi":"10.1007/s10409-026-51259-x","DOIUrl":"10.1007/s10409-026-51259-x","url":null,"abstract":"<div><p>The wake dynamics and horizontal migration ability of freely rotating spheroidal particles with fixed centers in a conducting flow are investigated using three-dimensional direct numerical simulations. Here, the horizontal migration ability is a measure of horizontal force generation. A total of 137 data points are computed in this study for all combinations within parameter range: Reynolds numbers <i>Re</i> = 100, 200, and 250, particle aspect ratios <i>β</i> = 2, 3, and 6, interaction parameters <i>N</i> = 0.1, 0.5, and 1, and magnetic field orientations 0° ≤ <i>θ</i>_<i>B</i> ≤ 90°. The results show that magnetic field orientation strongly controls wake symmetry and the resulting horizontal forces through the anisotropic properties of the Lorentz force distribution. A moderately inclined magnetic field (<i>θ</i>_<i>B</i> ≈ 30°) most robustly sustains wake asymmetry, leading to enhanced horizontal migration ability while avoiding excessive magnetic damping. For particles with small aspect ratios, efficient horizontal migration ability is achieved at moderate magnetic interaction parameters, whereas elongated particles require stronger magnetic fields to compensate for geometry-induced changes in the characteristic action length of the Lorentz forces. These findings provide a mechanistic framework for predicting and controlling particle motion in electromagnetic flows, offering guidance for energy-efficient magnetic manipulation of anisotropic particles.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Singularity-free analytical integrations in panel method of computational fluid dynamics","authors":"Wanting Wang \u0000 (,&nbsp;),&nbsp;Lianxin Yang \u0000 (,&nbsp;),&nbsp;Zixiong Lin \u0000 (,&nbsp;),&nbsp;Zhihua Zhao \u0000 (,&nbsp;)","doi":"10.1007/s10409-026-25903-x","DOIUrl":"10.1007/s10409-026-25903-x","url":null,"abstract":"<div><p>Panel method, which models potential flow field by distributing sources and doublets over the body surfaces and wakes, remains a widely used approach in computational fluid dynamics for its simplicity and satisfactory accuracy. Evaluating influence coefficients of velocity potential and velocity induced by distributed source and doublet panels requires surface integrations over them. However, conventional formulations reported in the literature can exhibit singularity in certain cases, depending on the choice of the local coordinate system. Here, we derive a new set of analytical integration formulas that are inherently free from such singularities and possess clear, intuitive geometrical interpretations. In particular, the influence coefficient of velocity potential from doublet corresponds to the solid vertex angle of a pyramid subtended at the target point. The proposed formulations were implemented and validated through numerical examples, confirming their accuracy and robustness. These singularity-free expressions not only enhance physical understanding of the effects induced by sources and doublets but also make their implementation in panel codes straightforward and reliable.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A phase-field adaptive interpolation material point method for ductile fracture and large deformation in pressure-sensitive geomaterials","authors":"Xuefeng Peng \u0000 (,&nbsp;),&nbsp;Enyue Ji \u0000 (,&nbsp;),&nbsp;Zhongzhi Fu \u0000 (,&nbsp;),&nbsp;Shengshui Chen \u0000 (,&nbsp;),&nbsp;Jiayi Peng \u0000 (,&nbsp;)","doi":"10.1007/s10409-026-51112-x","DOIUrl":"10.1007/s10409-026-51112-x","url":null,"abstract":"<div><p>This study proposes a phase-field adaptive interpolation material point method (PF-AIMPM) to simulate ductile crack propagation and large deformation failure in pressure-sensitive geomaterials. Based on the microforce balance law and the second law of thermodynamics, a nonlocal phase-field fracture model is formulated as the damage evolution mechanism within an elastoplastic framework. By decomposing the stress tensor, the total free energy is separated into crack-driving and non-driving components, and an effective phase-field stress is introduced to construct a stress update scheme suitable for elastoplastic constitutive modeling. To address large deformation issues during dynamic ductile fracture, an adaptive interpolation technique is employed, and an explicit formulation of the lumped phase-field stiffness matrix is developed to suppress numerical noise caused by material points crossing cell boundaries and to enhance computational accuracy in brittle-ductile transition simulations. The accuracy and robustness of the proposed method are validated through two benchmark examples: a single-edge notched tension test and a ductile fracture test of geomaterials. A centrifuge model test of an excavated compacted clay slope is numerically simulated, demonstrating that PF-AIMPM can accurately capture crack initiation and propagation, as well as the progressive failure process and slip-induced dilation behavior.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fatigue life prediction for additive manufactured metals using an interpretable physics-informed machine learning framework","authors":"Borui Wu \u0000 (,&nbsp;),&nbsp;Shun-Peng Zhu \u0000 (,&nbsp;),&nbsp;Lanyi Wang \u0000 (,&nbsp;),&nbsp;Zijian Xu \u0000 (,&nbsp;),&nbsp;Changqi Luo \u0000 (,&nbsp;),&nbsp;Qingyuan Wang \u0000 (,&nbsp;)","doi":"10.1007/s10409-026-51158-x","DOIUrl":"10.1007/s10409-026-51158-x","url":null,"abstract":"<div><p>Additive manufacturing (AM) has gained significant traction across various engineering sectors due to its flexibility in design and manufacturing. Nevertheless, manufacturing defects with highly scattered features in AM metals dominate the scatter of their fatigue behavior. Among the traditional methodologies for predicting the fatigue life of AM metals, semiempirical mechanical models are often limited by incomplete prior assumptions for describing the mechanism of fatigue failure controlled by manufacturing defects. Meanwhile, machine learning (ML) models supported by limited volumes of experimental fatigue data are often considered unreliable and lack interpretability. To address these challenges, an interpretable physics-informed ML framework, integrated Fourier expansion-Kolmogorov Arnold networks (FE-KAN), has been developed. By integrating the physical constraints and the Fourier layer, FE-KAN can effectively assess and correct potential systematic errors in the fatigue life prediction results of the physics-driven models. The effectiveness of FE-KAN in improving the prediction performance has been examined on multiple datasets of AM metals, along with the validity of its interpretation. In contrast to other state-of-the-art methods, the superiority of FE-KAN is demonstrated in both prediction accuracy and interpretability. Ultimately, a unified fatigue life prediction framework for AM metals is established.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extending the Kurganov Riemann-free solver to compressible multi-fluid flows with a sharpening consistent algorithm","authors":"Chenmu Xue \u0000 (,&nbsp;),&nbsp;Ge Li \u0000 (,&nbsp;),&nbsp;Yating Hao \u0000 (,&nbsp;),&nbsp;Qingquan Liu \u0000 (,&nbsp;),&nbsp;Guosheng He \u0000 (,&nbsp;),&nbsp;Xiaoliang Wang \u0000 (,&nbsp;)","doi":"10.1007/s10409-026-25634-x","DOIUrl":"10.1007/s10409-026-25634-x","url":null,"abstract":"<div><p>There are plenty of examples of compressible multi-fluid flows in the fields of aerospace and defense engineering, the accurate computation and prediction of which are of great significance. Compared to single-fluid flows, compressible multi-fluid flows involve complex phenomena such as shock waves, interfaces, and nonlinear equations of state, which pose considerable numerical challenges. In this study, the Kurganov Riemann-free solver is extended to the <i>γ</i>-based compressible multi-fluid formulation with a newly consistent algorithm. This algorithm satisfies both the single material consistency criterion and the pure material interface criterion. Furthermore, incorporating the boundary variation diminishing (BVD) method, a high-resolution compressible multi-fluid flow solver with interface-sharpening capability is developed. The proposed solver accurately captures both shock waves and interfaces, with interface thickness consistently compressed to approximately 3 computational cells. Several shock-bubble interaction problems were then well reproduced, demonstrating the new solver’s ability to preserve sharp interface features and capture small-scale vortical structures generated during the interaction between shock wave and complex interface with high-density ratio.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of grain boundary energy and understanding of grain boundary structure-energy relationship by machine learning","authors":"Songjiang Lu \u0000 (,&nbsp;)","doi":"10.1007/s10409-026-51015-x","DOIUrl":"10.1007/s10409-026-51015-x","url":null,"abstract":"<div><p>Grain boundary (GB) energy has a significant influence on the mechanical properties and behavior of polycrystalline materials. At present, the prediction model of GB energy and the relationship between GB energy and structure still need further investigation. Herein, we combine atomistic simulations with machine learning (ML) methods to establish a prediction model for GB energy and examine the correlation between GB energy and GB parameters. A large GB energy dataset that contains 100000 aluminum GBs of five macroscopic degrees of freedom (DOFs) was created by conducting a series of molecular dynamics (MD) simulations. Except for GB energy, the excess volume and excess centrosymmetry of GB were also calculated using the cut-off sphere model by MD to investigate their correlations with GB energy. The results indicate that the machine learning models are capable of precisely predicting the GB energy as a function of five GB DOFs, which is otherwise challenging for the conventional analytical approaches. Furthermore, the ML models using excess volume or excess centrosymmetry as input, respectively, have 10.6% and 12.9% higher prediction scores than the corresponding well-accepted theoretical linear models, indicating the high predictive accuracy of ML techniques. In addition, the effect of input features on the prediction performance of ML models, the feature importance analysis, and the relations between GB parameters (five GB DOFs, GB excess volume, and excess centrosymmetry) and GB energy are systematically discussed. The MD- and ML-based investigation in this study provides a deeper understanding of the relationship between GB energy-structure and offers a convenient and accurate method for predicting GB energy from GB parameters.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing tunable stiffness in seismic metamaterials for customized Rayleigh wave bandgaps","authors":"Chen-Xu Liu \u0000 (,&nbsp;),&nbsp;Gui-Lan Yu \u0000 (,&nbsp;),&nbsp;Xiao-Dong Yang \u0000 (,&nbsp;),&nbsp;Zhanli Liu \u0000 (,&nbsp;)","doi":"10.1007/s10409-026-51240-x","DOIUrl":"10.1007/s10409-026-51240-x","url":null,"abstract":"<div><p>Seismic metamaterials (SMs) have attracted considerable attention for their ability to mitigate low-frequency vibrations induced by earthquakes and traffic. While stiffness influences the resonant frequency, achieving stiffness tuning for customized Rayleigh wave bandgaps (RWBs) remains a significant challenge. Here, we propose a stiffness-tunable SM consisting of periodically arranged masses integrated with re-entrant structures. By adjusting the geometric parameters of the re-entrant units, the equivalent stiffness can be continuously tuned. Our analysis shows that although decreasing stiffness lowers the resonant frequency, excessive reduction causes the RWB width to shrink extremely. In contrast, tuning the stiffness to a moderate value yields a broad low-frequency RWB, with an onset frequency 16.4% lower and a relative bandwidth 13.7% larger than those of a topology-optimized design. Frequency-domain analyses further reveal surface-to-bulk wave conversion within the RWB, confirming the attenuation capability of the proposed SM. Simulations under seismic excitations show that a tailored SM reduces wave amplitudes by 42%. Moreover, an SM customized for metro-induced vibrations achieves a 65% attenuation in peak responses. By harnessing tunable stiffness in SMs, this work establishes a new design framework and structural paradigm for achieving customized RWBs, offering a promising pathway toward practical seismic protection.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148614205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AES-AUBF: an adaptive ensemble surrogate framework with approximate upper bound function for efficient structural reliability analysis","authors":"Jinsheng Wang \u0000 (,&nbsp;),&nbsp;Shen Li \u0000 (,&nbsp;),&nbsp;Abel Arredondo-Galeana,&nbsp;Chenfeng Li \u0000 (,&nbsp;),&nbsp;Feargal Brennan","doi":"10.1007/s10409-026-51032-x","DOIUrl":"10.1007/s10409-026-51032-x","url":null,"abstract":"<div><p>Accurate and efficient estimation of structural failure probability often requires balancing predictive accuracy with computational cost, particularly when high-fidelity models are involved. To address this challenge, this study develops an adaptive ensemble of surrogates with approximate upper bound function (AES-AUBF) for reliability analysis. The proposed framework integrates multiple polynomial chaos Kriging (PCK) surrogates through a novel weighting scheme, enabling dynamic adjustment of model importance according to both global accuracy and local predictive uncertainty. An approximate upper bound function (AUBF) is introduced within a Bayesian active learning framework to guide the sequential selection of new informative samples, effectively reducing epistemic uncertainty in failure probability estimation. Furthermore, a reward-based learning function allocation strategy is proposed to adaptively select the most effective learning function from a portfolio, while a parallel enrichment mechanism accelerates convergence by adding multiple samples per iteration. A hybrid error-based stopping criterion ensures termination at an optimal balance between accuracy and efficiency. Three numerical examples, including a nonlinear oscillator, a multi-branch series system, and the fatigue reliability assessment of a monopile-supported offshore wind turbine, are employed to investigate the performance of AES-AUBF. Results show that AES-AUBF achieves accuracy comparable to direct Monte Carlo simulation while significantly reducing the number of function evaluations. The proposed framework provides a flexible and efficient tool for reliability analysis, and its modular structure allows seamless integration with dimension-reduction and advanced simulation techniques for future extension to high-dimensional or rare-event problems.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10409-026-51032-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148613648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on heat and mass transfer in longitudinal metallic fins of different profiles under dehumidification conditions: a differential transformation method approach","authors":"Poojar Lokeshwarappa Pavan Kumar,&nbsp;Bijjanal Jayanna Gireesha,&nbsp;Puttaswamy Venkatesh,&nbsp;Maasthi Lohitkumar Keerthi","doi":"10.1007/s10409-026-25738-x","DOIUrl":"10.1007/s10409-026-25738-x","url":null,"abstract":"<div><p>The novelty of this work lies in the analysis of dovetail, rectangular, and trapezoidal porous fins under dehumidification conditions using the differential transformation method (DTM), where condensation effects and latent heat release are explicitly incorporated to capture realistic thermal behaviour. In this study, the thermal performance and efficiency of aluminium and copper fins with these profiles are investigated by formulating the governing nonlinear ordinary differential equation incorporating Darcy’s law for porous media. The equation is solved analytically using DTM to obtain accurate solutions for temperature distribution and efficiency variations across different fin geometries and materials. The results reveal that fin with a higher taper ratio exhibit reduced temperature and efficiency due to increased thermal resistance and limited conduction at the base, while higher relative humidity decreases the performance as excess surface moisture suppresses the driving gradient for condensation-induced latent heat release. Among the profiles, the dovetail fin demonstrates good performance owing to its larger effective surface area and improved heat retention, the trapezoidal fin exhibits the lowest performance due to higher thermal resistance, and the rectangular fin displays intermediate characteristics. Copper fin with superior thermal conductivity enhances heat retention and efficiency, while aluminium fin offers advantages in lightweight design and corrosion resistance. These findings highlight the combined role of geometry, material, and dehumidification in governing fin performance and provide practical guidelines for designing efficient heat exchangers and thermal management systems.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148613944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wall mechanical and hemodynamic analyses for intracranial aneurysms with irregular pulsation based on 4D-CTA images","authors":"Yuqing Tian \u0000 (,&nbsp;),&nbsp;Xiao Li \u0000 (,&nbsp;),&nbsp;Jianjian Zhang \u0000 (,&nbsp;),&nbsp;Huilin Zhao \u0000 (,&nbsp;),&nbsp;Fuyou Liang \u0000 (,&nbsp;)","doi":"10.1007/s10409-026-25998-x","DOIUrl":"10.1007/s10409-026-25998-x","url":null,"abstract":"<div><p>Irregular wall pulsation is a distinctive feature of certain intracranial aneurysms (IAs) identified by four-dimensional computed tomography angiography (4D-CTA). While clinical studies have demonstrated the association of irregular pulsation with aneurysm instability or rupture, the underlying biomechanical mechanisms remain poorly understood. In this study, we utilized the coherent point drift algorithm combined with elastic theory and computational fluid dynamics to quantify biomechanical parameters of IAs with irregular pulsation based on 4D-CTA images. The methodology was applied to three patient-specific IAs with clinically confirmed irregular pulsation. Obtained results revealed that aneurysm wall regions with irregular pulsation generally displayed large wall displacement, which was either accompanied or not accompanied by high strain. Notably, large displacement or high strain could also be detected in some aneurysm wall regions without irregular pulsation, as well as in adjacent normal arteries. Hemodynamic simulations demonstrated the presence of low and oscillatory wall shear stress (WSS) in irregular pulsation regions. Comparisons between dynamic hemodynamic models (incorporating wall movement) and static hemodynamic models (with rigid walls) further revealed the role of irregular pulsation in amplifying WSS oscillation, which implies that the degradation of wall mechanics in aneurysm regions with irregular pulsation may interact with hemodynamic disturbance in a mutually reinforcing manner. In summary, the findings of our study suggest that quantifying biomechanical parameters in both the wall and sac of aneurysm may provide valuable insights for assessing the risk of IAs, particularly those exhibiting irregular pulsation.</p><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7109,"journal":{"name":"Acta Mechanica Sinica","volume":"42 11","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148613646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}