Abstract
As urban areas continue to expand and densify, the demand for innovative transportation solutions, such as underground transit systems, has intensified. A critical consideration in such projects is the proximity of tunneling activities to existing infrastructure, particularly battered piles, which are widely used for their superior strength and ability to withstand lateral loads. Despite their importance, the effects of tunnel excavation on adjacent battered piles remain poorly understood. The research focuses on three critical tunnel depths: near the pile shaft, close to the pile toe, and below the pile toe. Additionally, it examines the position of the tunnel in relation to the batter of the pile, considering tunneling on the batter side, opposite the batter, and across the batter. Using an advanced numerical model simulating clay behavior, the study reveals that settlement and load transfer mechanisms of battered piles are significantly affected by tunnel position and pile embedment length. Key findings show that maximum settlement occurs when tunneling is near the pile and on the battered side, while the largest pile deflection is observed when tunneling occurs close to the pile shaft. The research also identifies a 'dragload' effect due to negative skin friction and induced bending moments when tunneling near the pile shaft. These insights are crucial for optimizing the design and performance of battered piles in tunnel projects, ensuring their resilience and minimizing risks to surrounding structures. The study contributes to a better understanding of soil-structure interaction in urban tunneling, providing valuable guidance for engineers and researchers.
Key Words
battered pile; py curves; stiff clay; settlement; tunnelling
Address
Mukhtiar Ali Soomro, Shaokai Xiong and Sharafat Ali Darban: School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, P.R. China
Dildar Ali Mangnejo and Hemu Karira: Department of Civil Engineering, Mehran University of Engineering and Technology, Shaheed Zulfiqar Ali Bhutto Campus,
Khairpur Mir's, Sindh, Pakistan
Abstract
Based on the suspended particles (SPs) migration model considering the release effect, combined with the stochastic model, the analytical solution in the case of instantaneous injection was obtained. In the stochastic model, the probability density function (PDF) was characterized using the lognormal, bimodal lognormal and the joint lognormal distribution formulas. The single or double stochastic parameters were considered to study the migration characteristics of the SPs. When the single parameter deposition coefficient follows the lognormal distribution, the peak concentration of SPs increases with the standard deviation. As for the case of average pore velocity following the lognormal distribution, the peak concentration decreases and the corresponding time advances with the standard deviation increasing, and the breakthrough curves (BTCs) become more asymmetrical. When the deposition coefficient obeys the bimodal lognormal distribution, the peak concentration increases with increasing the proportion of low deposition coefficient. When the average pore water velocity follows the bimodal lognormal distribution, the peak concentration changes with the variation of the proportion of low pore water velocity, while the corresponding time is almost unchanged. When the double stochastic parameters follow the lognormal distribution, the peak concentration of SPs increases with the decrease of correlation coefficient and the BTCs become relatively symmetrical, with less trailing phenomenon. With the increase of migration distance, the peak concentration decreases and the time corresponding to the peak concentration of SPs increases.
Key Words
analytical solution; deposition; one dimensional migration; release; stochastic model; suspended particle
Address
Peng Zhu, Yan Wang, Chuancheng Xue and Ganbin Liu: School of Civil, Environmental Engineering and Geography Science, Ningbo University, Ningbo 315211, China
Abstract
Soil color is a key indicator in soil science, used to assess soil properties such as mineral composition, organic matter content, and moisture content. However, soil color is highly dependent on lighting conditions, which vary significantly in real-world environments. To address this challenge, this study proposes a real-time and cost-effective soil color calibration method that integrates lighting condition measurement and image acquisition into a single step. Digital images of 24 industry-standard color patches were captured under irregular lighting conditions, and the relationship between patch color and lighting conditions was analyzed using the CIELAB color system. Among these, the brown color patch, which closely resembles soil color, was identified as the optimal reference color patch, enabling the development of empirical equations to estimate illuminance and color temperature. These equations allowed real-time calibration of soil color, standardizing soil images taken under different lighting conditions to a desired lighting condition. The proposed method was validated using eighteen digital images of moist soil captured under natural lighting conditions, demonstrating high calibration accuracy. This approach offers a practical, low-cost, and computationally efficient alternative to spectrophotometer-based methods, making real-time soil color calibration feasible for field applications.
Key Words
color calibration; digital image; lighting condition; reference color patch; soil color
Address
Sung-Ha Baek: School of Civil and Environmental Engineering & Construction Engineering Research Institute, Hankyong National University,
327 Jungang-ro, Anseong-si, Gyeonggi-do, Republic of Korea
Tae-Young Kwak: Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology,
283 Goyangdae-ro, Ilsanseo-gu, Goyang-si, Gyeonggi-do, Republic of Korea
Abstract
To investigate the deformation characteristics of mining coal roadway affected by strip mining, through the field measurement of one mining coal roadway by strip mining of Xuzhou coal mine in China, based on the key stratum theory and strata movement theory, its deformation is analyzed and studied. From the field measurement, some special deformation characteristics of mining coal roadway affected by strip mining have been found. For the mining coal roadway by strip mining, there are two peaks of displacement, and their lag distance is long. Therefore, the support of the mining coal roadway by strip mining should be reinforced before the second pressure arrives. Those can provide valuable reference for the support of the mining coal roadways by strip mining under the similar conditions.
Key Words
deformation characteristics; field measurement; key stratum theory; mining coal roadway; strip mining
Address
W. Gao and S.S. Ge: Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering,
College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, PR China
Abstract
This research focuses on the practical application of reinforced composites integrating glass textile within structures subjected to significant bending forces, especially in high-load-bearing flats. Every stage of preparation and testing was meticulously carried out at Jiangxi University of Science and Technology and Gannan University of Science & Technology, highlighting our dedication to advancing knowledge regarding the utilization of innovative materials in construction practices. While numerous inquiries delve into the behavior of reinforced concrete using traditional rebars, understanding the potential of composite reinforcement employing glass textile remains a critical gap. Deep comprehension of the mechanical intricacies of glass textile represents uncharted territory crucial for pioneering structural advancements. This article aims to establish an innovative framework for exploring glass textile as a viable composite reinforcement. The meticulous orchestration of tests, including the mini-slump test, sets a pioneering precedent for nuanced experimentation. Also, assessments via the compressive strength test and the three-point bending test significantly contribute to our understanding of the material's behavior, fostering a paradigm shift in utilizing reinforced composites in high-stress structural settings.
Address
Liu Wei and Liang Tongxiang: Jiangxi University of Science and Technology, GanZhou 341000, Jiangxi, China
Lu Xinrong, Chen Liang and Deng Daping: Gannan University of Science & Technology, Ganzhou 341000, Jiangxi, China
Mehdi Kouhdarag: Department of Civil Engineering, Malekan Branch, Islamic Azad University, Malekan 5561788389, Iran
Abstract
AI driven computational dynamic modeling and nanomechanical reinforcement of functionally graded (FG) plates resting on polymeric foundation are considered in the study and improvements of nonlinear post buckling behavior are assessed. Nonlinear characteristics are significantly improved by a proper exploitation of the superior mechanical properties of carbon nanotubes (CNTs). This analysis is enabled by a modified mixture homogenization approach coupled with a high order shear deformation theory (HSDT), which is useful in analyzing the distribution of nanocomposite property across the plate thickness. In the present research, key parameters such as CNT volume fraction, foundation stiffness, nanoparticle agglomeration, and dynamic loading intensity are studied comprehensively under nonlinear interactions to evaluate the bearing ability of system stability and dynamic response. In order to capture the complete nonlinear postbuckling and dynamic behavior, an advanced computational framework unites AI driven modeling with both energy principles and domain decomposition, Rayleigh-Ritz methods, and Newton Raphson numerical iteration. The results indicate that CNT reinforcement improves load bearing capacity and structural stability and polymeric composition has a pronounced effect on nonlinear dynamic properties in the form of damping and stability performance. For the front engineering of FG nanocomposite structures that enhance their mechanical resilience, this research is yielding critical learning on computational strategies for encouraging AI assisted material design and structural optimization.
Key Words
AI-driven computational; nanoparticles; newton-raphson technique; nonlinear behavior; plate
Address
Pingquan Wang: Yangzhou Polytechnic Institute, Yangzhou 225127, Jiangsu, China
Bo Zhang: School of Computer Science, Wuhan Donghu College, Wuhan 430212, Hubei, China
H. Karemt: Advanced Research and Development Center, LIPS Research Foundation, European International University, Paris, France
P. Politad: Department of Computer Enngineering, University of Zabol, Zabol, Iran
