Table of Content

30 June 2023, Volume 29 Issue 3

Previous Issue    Next Issue

Influence mechanism of manufacturer-supplier relationships on cost information disclosure

ZHANG Chuan, ZOU Caifeng, HUANG Xiayan

2023, 29(3):  367.  doi:10.12066/j.issn.1007-2861.2482

Asbtract ( 217 )   PDF (415KB) ( 192 )  

Related Articles | Metrics

At the time of reshaping the global manufacturing competition pattern, China's manufacturing industry should not only seize the historical opportunity to establish a sustainable competitive advantage, but also accept the impact of the epidemic; hence, it is difficult for the traditional production mode to meet the fierce competition. The integration of business models is a way to enhance the competitiveness of manufacturing industry, and the competitiveness of enterprises is increasingly dependent on the supplier network. Furthermore, the disclosure of cost information in the supply chain has also become an important way to enhance the level of cooperation and competitiveness in the manufacturing supply chain. Therefore, analyzing the relationship between manufacturers and suppliers regarding the disclosure of cost information is of great significance. This paper classified the manufacturer-supplier relationships into joint dependence, asymmetric dependence and social relationship embeddedness, and examined the impact mechanism of the three relationships on cost information disclosure. The results revealed the following. The manufacturer-supplier relationships affected the disclosure of supplier cost information and the use of manufacturer cost information. Joint dependence and social relationship embeddedness could significantly promote the suppliers' cost information disclosure, but asymmetric dependence could only increase the content and couldn't improve the quality of cost information. Asymmetric dependence and social relationship embeddedness could promote the use of manufacturers' cost information, while joint dependence had no significant impact on the use of such information. The findings have important implications for manufacturers to improve their competitive advantage through \relationships" and cost reduction.



Digital transformation and supply chain commercial credit ¯nancing

LOU Zhukun, GAO Lirui

2023, 29(3):  386.  doi:10.12066/j.issn.1007-2861.2488

Asbtract ( 248 )   PDF (426KB) ( 350 )  

Related Articles | Metrics

This study adopts the A-share listed companies in Shanghai and Shenzhen from 2007 to 2021 as the research sample. The impact and internal mechanism of enterprise digital transformation (DT) on supply chain commercial credit financing is investigated. The higher the degree of DT of enterprises, the higher the increase of commercial credit financing obtained from upstream suppliers, and a series of robustness tests confirm the existence of this relationship. The mechanism test finds that DT increased supply chain commercial credit financing through three channels: improving enterprise information transparency, promoting enterprise supply network diversification, and improving market expectations. Heterogeneity analysis reveals that when the degree of financing constraints of enterprises is high and the level of marketisation in the region is low, the promotion of enterprise DT on supply chain commercial credit financing is more significant. This study provides direct empirical evidence for the impact of enterprise DT on supply chain commercial credit. Additionally, it enriches the relevant research on the economic consequences of enterprise DT and the factors affecting commercial credit financing.



Evolutionary game analysis of supply chain low-carbon strategy under green credit: perspective of carbon emission reduction linked loan

LI Ting, LI Yuanqin

2023, 29(3):  407.  doi:10.12066/j.issn.1007-2861.2489

Asbtract ( 238 )   PDF (1435KB) ( 91 )  

Related Articles | Metrics

As a booster for building a green and low-carbon supply chain, green credit is an effective tool to accelerate green development by linking the loan interest rate with the corporate carbon emission reduction. A static Stackelberg equilibrium and dynamic three-party evolutionary game linkage model was built, and the low-carbon strategies and influencing factors of each participant were investigated. The results reveal that carbon emission reduction linked loans can strengthen the emission reduction efforts of manufacturers and retailers, and also increase corporate profits. Retailers’ ‘green bleaching’ behaviour can increase manufacturers’ and retailers’ profits in the short term, but it is not the optimal strategy in the long term. Consumers’ green consumption preferences, publicity and promotion of the aforementioned loans, appropriate relaxation of the loan preference ratio, and improvement of the digital level of banks can promote the low-carbon behaviour of supply chains and banks.



Leading and promoting green transformation of supply chain by state-owned enterprises

LI Shiyu, TANG Song

2023, 29(3):  421.  doi:10.12066/j.issn.1007-2861.2497

Asbtract ( 242 )   PDF (415KB) ( 396 )  

Related Articles | Metrics

Under the long-term goals of “carbon peak and carbon neutrality”, how to accelerate the green transformation of enterprises is currently the main problem faced with China. This study focuses on the supply chain and systematically elaborates the motives, capabilities, mechanisms, and path of state-owned enterprises (SOEs) leading and promoting the green transformation of upstream and downstream companies. To implement major national strategies, complete environmental performance assessments, and enhance the core competitiveness of state-owned capital, it is argued that SOEs should leverage their advantages in market position and basic resources to promote the green transformation of the aforementioned companies through competitive selection, supply-demand matching, and resource coordination mechanisms. This study provides policy implications from the perspective of the supply chain on how to play the leading and exemplary role of state-owned capital in ecological environment construction, accelerate the green transformation of small and medium-sized enterprises, and coordinate the role of government and the market in environmental governance.



Analysis of cloud cavitation structure and prediction of erosion risk for a three-dimensional hydrofoil

CHEN Yang, YANG Pu, ZHU Bing

2023, 29(3):  436.  doi:10.12066/j.issn.1007-2861.2343

Asbtract ( 170 )   PDF (11776KB) ( 9 )  

Related Articles | Metrics

Cavitation occurs commonly in fluid equipment. The collapse of the cloud cavitation structure releases extremely high pressure, which is usually considered the main cause of material cavitation erosion damage. This work aims to analyze the cavitation evolution and collapse and its erosion risk based on a numerical method. The implicit large eddy simulation method and a cavitation model based on local flow-field correction were applied to simulate the fluid fields of a three-dimensional NACA0015 hydrofoil with different cavitation numbers. The evolutionary process of the cavitation flow structure was investigated, and the erosion risk prediction model based on energy transport was used to estimate the cavitation risk area. The main conclusions are as follows: (1) The cavitation model based on local flow-field correction can better predict the cavitation volume, and the implicit large eddy simulation method can better capture the various forms of un-steady cavitation flow structures. (2) Different cavitation numbers have different effects on the cavitation occurrence intensity, evolution characteristics, and collapse location. When σ = 1.19, the cavitation structure is relatively stable, the maximum length of the attached cavity is 0.4 of the foil chord length, and the collapse location of the exfoliating cavity is 0.6. When σ = 1.07, the maximum length of the attached cavity is 0.5, and the collapse position of the detached cavity is 0.7. When σ = 0.95, the cavity structure evolves vio-lently, multiscale cavities are shed together, the maximum length of the cavity attached to the surface of the airfoil is 0.7, and the collapse location of the shed cavity is near the foil trailing edge. (3) The prediction model based on energy transport can be used to predict the risk area of erosion damage on the foil surface caused by cavitation cavity collapse.



Thermal-mechanical coupling analysis of lithium-ion batteries considering thermal radiation effect under fast charge

LIN Mingju, SUO Yaohong, LAI Guanghui, XIAO Junwen

2023, 29(3):  450.  doi:10.12066/j.issn.1007-2861.2424

Asbtract ( 178 )   PDF (1634KB) ( 545 )  

Related Articles | Metrics

Thermal runaway and larger volume expansion caused by temperature rise are the main reasons for explosions and cycle performance degradation during the charge and discharge of lithium-ion batteries (LIBs). Meanwhile excessive charging time directly results in lower charging efficiency. In order to improve the charging efficiency and as-sess the temperature and stress distributions of LIBs, a thermo-mechanical coupling model of a cylindrical LIB with thermal radiation effect is developed during fast charging in this work. Then taking 18650 lithium-ion battery as the research object, the charging efficiency, temperature and stress distributions are compared between fast charge and galvanostatic operation. Finally, the influences of initial temperature, convective heat transfer and ther-mal radiation on the temperature, radial and hoop stresses of the battery during the charge are simulated, respectively. Numerical results show that the fast charge reduces the charge time within the service range of the temperature and stress, and the charge efficiency in-creases by 20.8%. The temperature of LIBs during the charge will be effectively reduced by reducing the initial temperature, or increasing the convective heat transfer coefficient, or improving the thermal radiation coefficient.



Adaptive reactionless trajectory tracking control method for postcapture of noncooperative target

YANG Yi, WANG Shun, XU Jia, ZHENG Huayong, ZHAO Yongjian, YANG Yang

2023, 29(3):  460.  doi:10.12066/j.issn.1007-2861.2286

Asbtract ( 753 )   PDF (787KB) ( 58 )  

Related Articles | Metrics

The stable control of space robots after capturing noncooperative targets with unknown dynamic characteristics is challenging. Based on the adaptive reaction null space (ARNS) algorithm, the dynamic online planning path of a robotic arm was investigated to minimise the disturbance to the base. Using a variable data-window-size recursive least-square algorithm (VDW-RLS), the system could achieve an online estimation of the inertial parameters of the end link. In addition, a high-precision trajectory tracking control method was developed using the singular perturbation theory. According to the time scale, the system was decomposed into two subsystems. An elastic vibration compensator was designed for the rapid subsystem to suppress elastic vibration, and a robust adaptive controller was designed for the slow subsystem to track the adaptive reactionless trajectory. The validity of the adaptive reactionless path planning scheme via VDW-RLS and combined controller based on the singular perturbation technique were verified through simulation experiments.



Multilayer-mesh lattice Boltzmann method with single layer buffer

YANG Zitao, WANG Liangjun, ZHU Wenhao, DING Hu, ZHANG Wu

2023, 29(3):  473.  doi:10.12066/j.issn.1007-2861.2303

Asbtract ( 541 )   PDF (10034KB) ( 107 )  

Related Articles | Metrics

Based on the multilayer-mesh lattice Boltzmann method (LBM), an information transfer optimization algorithm using a single-layer buffer without time interpolation is developed in this study. The algorithm uses a quadtree structure to construct the parent–child relationship between lattice points at different neighboring levels of mesh, simplifies the transformation of distribution function on the interface of coarse and fine meshes, and fully exploits the locality and parallelism of LBM. A general parallel program of the multilayer-mesh LBM is developed to simulate lid-driven cavity flow, point sound source diffusion, and flow around an NACA0012 airfoil. Numerical results show that the developed algorithm and program are very effective and exhibit excellent speedup, efficiency, and scalability. Compared with the standard LBM, the multilayer-mesh LBM with a single-layer buffer has obvious advantages in terms of computational stability, convergence speed, and computational efficiency.



Analytical solution for bending of the cracked Euler-Bernoulli beam on the Winkler foundation

YANG Xiao, LIU Xin, ZHENG Chaoyin

2023, 29(3):  491.  doi:10.12066/j.issn.1007-2861.2361

Asbtract ( 133 )   PDF (712KB) ( 365 )  

Related Articles | Metrics

Based on the linear torsional spring model of a transverse crack in a beam, the general analytical solution of the Euler-Bernoulli beam considering an arbitrary num-ber of cracks on the Winkler foundation was presented through Laplace transform and its inverse transformation. The bending deformation for simply-supported and cantilever cracked beams under uniform loads were investigated to evaluate the analytical solution. The influences of the numbers and locations of cracks, foundation reaction coefficient and beam length-height ratio on the bending deformation of the cracked beam were analyzed. At the crack location, a cusp in deflection and a gap rotational angle of the beam were identified. The influences of the foundation reaction coefficient and crack depth on the bending of cracked beam were significant, in contrast to the effects caused by the number and locations of the crack and the length-height ratio of beam. These conclusions can be used for structural health detection and monitoring. 



Parametric identification method for fabricated components based on point cloud deep learning

ZHANG Heng, SHU Zhan

2023, 29(3):  502.  doi:10.12066/j.issn.1007-2861.2369

Asbtract ( 244 )   PDF (2344KB) ( 244 )  

Related Articles | Metrics

Point cloud deep learning technology was used to automatically identify the dimensions of building components. Virtual point clouds were used to solve the problem of cumbersome work with 3D point cloud datasets. First, a method for creating a self-built point cloud dataset was proposed, which used building information modeling (BIM) tech-nology to parametrically model fabricated components. The data was then batch processed and converted to generate a noise-free, high-quality point cloud with annotations. Next, based on the PointNet network, an end-to-end component size parameter identification net-work, termed PointNet CE, was built. Finally, the virtual point cloud dataset was used for model training, and the effectiveness of the method was verified via engineering examples. The experimental results showed that the virtual point cloud dataset generated based on BIM technology could effectively expand the real world data. The improved component size parameter recognition network could accurately identify the component size, with a recognition accuracy at millimeter level on the training sample. This level of accuracy was suitable for real world use, with the recognition accuracy of the components reaching centimeter level, which satisfied the construction requirements of the fabricated structure.



Section design and seismic performance of self-resetting shear wall with variable slit length

WU Yiwen, ZHU Jiejiang

2023, 29(3):  512.  doi:10.12066/j.issn.1007-2861.2299

Asbtract ( 614 )   PDF (4976KB) ( 79 )  

Related Articles | Metrics

The research aims to study the seismic performance of shear wall with different slotted lengths. Stress analysis of cross sections of shear wall were carried out to quantify the theoretical bearing capacity of the wall under different slotted lengths, and based on the performance goals in fourth level and under third level, cross section of self-reset wall was designed and compared with existing experimental results as well as static elastoplastic results of self-resetting shear wall with variable slit lengths for validation. The results show that the theoretical expression of the bearing capacity agrees with existing experimental and finite element results. Moreover, with an increase in crack length, the self-repositioning ability of the wall increases, and the energy dissipation capacity decreases. A slit length coefficient of 0.2–0.3 adheres to the limit of residual displacement angle and maintains a satisfactory energy dissipation capacity.



Model test of reinforced roadbeds by geogrid subgrade underlying sinkholes based on FBG-3D printing

YANG Jie, ZHANG Meng-xi, QIU Cheng-chun

2023, 29(3):  525.  doi:10.12066/j.issn.1007-2861.2302

Asbtract ( 640 )   PDF (2582KB) ( 88 )  

Related Articles | Metrics

Fiber Bragg grating (FBG) sensing technology has the advantages of high sensitivity, anti-electromagnetic interference and real-time monitoring and has thus attracted increasing attention in the field of civil engineering. However, fully coordinated deformation between the sensor and measured object is difficult to achieve using the traditional external packaging method, and measurement errors are common. Based on 3D printing technology, a type of self-sensing geogrid is developed in this study which realizes fully coordinated deformation between the FBG sensor and tested geogrid. This enables using FBG technology to realize real-time and accurate measurements of geogrid strain directly. The self-sensing geogrid is applied to a model test of an underlying sinkhole roadbed to study the roadbed’s ultimate bearing capacity, top settlement and deformation characteristics under different reinforced layers and spacings. Test results show that the ultimate bearing capacity of the subgrade of the underlying sinkhole can be greatly increased by reinforcement, and the subgrade settlement can be effectively reduced. In addition, the bearing capacity of the subgrade can be increased with an increase in the number of reinforcement layers and a decrease in reinforcement spacing. In the vertical direction, the strain of the grid decreases with an increase in the buried depth of the grid; in the horizontal direction, the strain of the grid decreases to both sides with an increase in the distance from the loading centre. The strain of the top grid decreases with an increase in the number of reinforcement layers and increases with a decrease in reinforcement spacing. Experimental results verify the feasibility of the application of the self-sensing geogrid in monitoring reinforced roadbeds in underlying sinkholes.



Tensile strength of expansive soil in drying-wetting process and its prediction

HUANG Zhongkai, SUN Dean, XU Yongfu, ZHANG Junran

2023, 29(3):  536.  doi:10.12066/j.issn.1007-2861.2357

Asbtract ( 140 )   PDF (1384KB) ( 75 )  

Related Articles | Metrics

The existence of hydrophilic minerals causes expansive soil to swell and shrink when it absorbs and loses water. When the shrinkage stress is greater than the sum of compressive stress and tensile strength, cracks occur. To study the tensile strength of expansive soil during the drying-wetting process, a self-made testing device was used in this study to conduct uniaxial tensile tests on undisturbed and compacted Nanyang expansive soil experiencing the drying-wetting process. The change in tensile strength was obtained during a drying-wetting cycle. Directly compacted specimens and compacted-drying specimens were prepared to study the effect of the specimen preparation method on tensile strength. Test results show that when the water content of undisturbed and compacted specimens decreases, the tensile strength and dry density increase, and the compacted one increases more rapidly. When the water content increases, the tensile strength of undisturbed and compacted specimens drops rapidly at first and then tends to remain unchanged. According to the soil-water characteristic curves of undisturbed and compacted specimens in the drying-wetting, an equation and corresponding parameter values for predicting the tensile strength of Nanyang expansive soil in the drying-wetting process are obtained.



Development and application of hardening soil model with small strain stiffness in FLAC3D

TANG Daofei, WANG Changhong

2023, 29(3):  549.  doi:10.12066/j.issn.1007-2861.2277

Asbtract ( 1061 )   PDF (14139KB) ( 91 )  

Related Articles | Metrics

A constitutive model of hardening soil and small-strain-hardening soil was established to simulate the loading–unloading characteristics accurately. Mathematical equations for the constitutive models of the hardening and small-strain-hardening soils were de-rived using the yield function, plastic potential function, and flow law. Dynamic-link data were compiled using the VC++ language, and the loading and invoked interfaces were modelled using FLAC3D 3.0. Test results for classical cases of small-strain model development were compared to verify the rationality of the hardening soil model with small-strain stiff-ness. The constitutive model was used to simulate the deep foundation excavation of the Oasis Center in Shanghai, and the actual measurement results were compared with those of the small-strain-hardening soil, hardening soil, and Mohr–Coulomb ideal elastic–plastic models. The analysed data of the hardening and small-strain-hardening soil models were in good agreement with the measurements. This study provides a reliable constitutive model of deformation control for large-scale geotechnical projects.



Method for the synthesis of megastigmatrien-3-one using a novel starting material

SHEN Jie, LIANG Demin, SHA Yunfei, LI Jian

2023, 29(3):  562.  doi:10.12066/j.issn.1007-2861.2360

Asbtract ( 437 )   PDF (306KB) ( 145 )  

Related Articles | Metrics

Megastigmatrien-3-one is considered to be the most essential aroma constituent of tobacco and is widely applied in flavorings and perfumes as well as in the tobacco indus-try. This manuscript describes a new synthetic strategy for megastigmatrien-3-one synthe-sis using readily-available ethyl 2,6,6-trimethyl-4-oxocyclohex-2-ene-1-carboxylate as the starting material, which is then subjected to ketal protection and reduction with lithium aluminum hydride to produce the alcohol intermediate. The alcohol intermediate sub-sequently undergoes Swern oxidation, Grignard, and elimination reactions to afford the megastigmatrien-3-one with 40% total yield. This method features readily-available start-ing materials and mild reaction conditions, thereby exhibiting potential for further appli-cations.