Techno Press
Tp_Editing System.E (TES.E)
Login Search
You logged in as...

scs
 
CONTENTS
Volume 58, Number 5, March 10 2026
 


Abstract
Sizing optimization of nonlinear inelastic steel truss structures poses significant challenges due to computational intensity from repeated nonlinear analyses and limitations of existing metaheuristic algorithms in handling high-dimensional problems with geometric and material nonlinearities. This paper proposes LEpDE, an enhanced differential evolution algorithm tailored for this task. LEpDE integrates: (1) a pbest mutation scheme balancing local and global searches, (2) a linear population size reduction (LPSR) transitioning from large to small populations for improved initial diversity and final convergence, (3) novel formulas for scale factor (F) and crossover (CR), and (4) an earlier constraint evaluation stop (ECES) to efficiently reduce unnecessary structural analyses. LEpDE's performance was evaluated on three examples (planar 10-bar truss, 47-bar power line truss, and planar 39 bar truss) against EpDE, Rao, a success-history-based parameter adaptation for DE (SHADE), and a LPSR application for SHADE (LSHADE). LEpDE consistently achieved superior best, worst, average, and standard deviation results, with statistical significance confirmed by Student's t-test. Despite a modest 7–10% increase in computation time over EpDE, the substantial gains in solution quality justify this trade-off. These findings establish LEpDE as a robust and efficient tool for nonlinear structural optimization with broad engineering applications.

Key Words
differential evolution; linear population size reduction; nonlinear inelastic analysis; optimization; pbest mutation; truss

Address
Faculty of Civil Engineering, Thuyloi University, 175 Tay Son, Kim Lien, Hanoi 100000, Vietnam

Abstract
This study investigates the nonlinear thermomechanical buckling and postbuckling behavior of porous sandwich cylindrical shells. The shells consist of a graphene-origami-reinforced auxetic metamaterial core and porous carbon nanotube (CNT)-reinforced face sheets, supported by a Winkler–Pasternak elastic foundation and subjected to external pressure in a thermal environment. To assess the influence of porosity, various porosity distribution models are examined across the shell thickness. Governing equations are formulated based on Reddy's third-order shear deformation theory (TSDT) and solved via the Galerkin method. Validation against established solutions in the literature demonstrates the high accuracy and reliability of the proposed model. A comprehensive parametric study is conducted to examine the effects of porosity characteristics, temperature variations, auxetic core, and Winkler Pasternak foundation properties on the buckling and postbuckling responses. The findings reveal that both porosity and temperature significantly influence the nonlinear buckling behavior, underscoring the necessity of accounting for these effects in designing advanced auxetic sandwich structures.

Key Words
carbon nanotube-reinforced composite; cylindrical shells; graphene-origami reinforced auxetic metamaterial; nonlinear thermomechanical buckling; porosity effects; temperature effects

Address
Farzad Ebrahimi:Department of Mechanical Engineering, Faculty of Engineering, Imam Khomeini International University, Qazvin, Iran

Mohammadhossein Goudarzfallahi:Department of Mechanical Engineering, SR.C., Islamic Azad University, Tehran, Iran

Ali Alinia-ziazi:Department of Mechanical Engineering, SR.C., Islamic Azad University, Tehran, Iran

Abstract
Composite box girders integrating concrete webs (CWs) and corrugated steel webs (CSWs) constitute an innovative structural solution for long-span bridges. To investigate the spatial behavior of this complex system, a novel finite element (FE) model, termed the Spatial Grillage Model (SGM), was developed exclusively with beam elements. In the SGM, hybrid webs are discretized into cruciform grids to capture orthotropic stiffness, while concrete flanges are simulated as planar grillages interconnected with the web grids. Comparative validation against high-fidelity solid/shell FE models demonstrated the accuracy of the SGM, with discrepancies consistently below 5% under diverse loading conditions. Subsequently, the model was employed to analyze the structural behavior of a practical extradosed cable-stayed bridge, incorporating the construction process, live loads, and other relevant factors. The results indicate that CWs generally sustain a greater share of shear force compared with the CSWs, particularly within cable-stayed zones. When concrete creep effects are considered, shear forces redistribute among hybrid webs, leading to a substantial increase in the CSWs. Under eccentric live loads, the outer CSWs exhibit 25%-30% higher shear force than the inner ones. Concrete flanges demonstrate pronounced overall positive shear lag adjacent to the CWs, combined with localized negative shear lag at web locations. This study establishes an efficient computational framework and provides new insights into the behavior of hybrid-web girders.

Key Words
composite bridge; corrugated steel webs; extradosed cable-stayed bridge; hybrid webs; shear distribution; spatial effect; spatial grillage model

Address
Yu Zhang:School of Civil Engineering, Shandong University, 17923 Jingshi Rd., Jinan 250061, China

Yibo Wang:School of Civil Engineering, Shandong University, 17923 Jingshi Rd., Jinan 250061, China

Shouyu Zhu:Department of Civil Engineering, National University of Singapore, 21 Lower Kent Ridge Rd., Singapore 119077, Singapore

Yujie Zeng:School of Civil Engineering, Chongqing University, 83 Shabei Street, Chongqing 400045, China

Li Tian:School of Civil Engineering, Shandong University, 17923 Jingshi Rd., Jinan 250061, China

Hetao Hou:School of Civil Engineering, Shandong University, 17923 Jingshi Rd., Jinan 250061, China

Abstract
This study investigated the behavior of concrete-filled steel tubes (CFST) under extreme fire conditions, focusing on two key fire performance indicators: the fire resistance rating (FRR) and residual strength index (RSI). Advanced prediction models were developed using neural networks optimized with a particle swarm optimization algorithm. A comprehensive experimental database and a diverse range of neural network architectures were utilized. The models demonstrated superior predictive accuracy, as validated through multiple performance metrics and comparisons with existing prediction equations. Furthermore, causal inference techniques were applied to identify the influence and relative importance of each variable. Visualization tools were instrumental in uncovering patterns and correlations that would be difficult to detect through numerical data alone. The proposed FRR and RSI models offer a cost-effective, non-destructive method for assessing and designing CFST elements in concrete structures.

Key Words
concrete-filled steel tubes; fire resistance rating; machine learning; neuro-swarm; residual strength index

Address
Andrei Art Geronimo:Department of Civil Engineering, Adamson University, Ermita, Manila, Philippines

Dann Carlo Reformado:Department of Civil Engineering, Adamson University, Ermita, Manila, Philippines

Earl Jayson Sarmiento:Department of Civil Engineering, Adamson University, Ermita, Manila, Philippines

Crispin Lictaoa:Department of Civil Engineering, Adamson University, Ermita, Manila, Philippines

Nolan C. Concha:Department of Civil Engineering, National University, Sampaloc, Manila, Philippines

Abstract
The upgrade plan for the next-generation HPR1000 nuclear power plants aims to fully adopt modular construction technology. Half steel plate-concrete composite (HSC) slab-to-reinforced concrete (RC) wall joints are critical connections in modular nuclear power plants, yet their failure mechanisms remain largely unexplored and limited research. This study investigates the shear and force-transfer behavior of HSC slab-RC wall joints through experiments and numerical simulation. Two connection methods were proposed and evaluated: the normal rebar-to steel-plate lap-splice (NR-SL) connection and a newly developed anchored rebar-to-steel-plate lap-splice (AR-SL) connection. Cyclic loading tests were conducted on six large-scale joint specimens, varying the tie-bar steel ratio and connection methods. Comparison results proved that the AR-SL connection has excellent force-transfer performance similar to that of the NR-SL connection, with advantages in both efficiency and cost-effectiveness. The nonlinear finite element models were used to perform parametric analysis, further clarifying the influence of the tie-bar steel ratio, lap length, location, and tensile force ratio of lapped rebars. Finally, based on the force-transfer model, a joint design method was proposed for engineering applications.

Key Words
force transfer; half steel plate-concrete composite slab; joint; lap-splice; nuclear power plant

Address
Yongwang Lei:1)School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
2)College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou,350108, Fujian China

Quanquan Guo:School of Transportation Science and Engineering, Beihang University, Beijing 100191, China

Yue Yu:China Nuclear Power Engineering Corporation Limited, Beijing 100840, China

Abstract
This study investigates the axial compression behavior of circular Concrete-Filled Aluminum Tube (CFAT) short columns, emphasizing the influence of the confinement effect coefficient. Sixteen specimens fabricated from 6063-T5 and 6061-T6 aluminum alloys were tested, demonstrating effective composite action with concrete. Specimens failed primarily by buckling or shear: buckling failures occurred when the confinement effect coefficient exceeded 0.91, whereas low coefficients below 0.31 combined with diameter-to-thickness ratios (D/t) ≥ 50 led to large diagonal cracks and poor ductility. Finite element analysis showed minimal interaction between aluminum tube and concrete in the elastic stage, which increased gradually in the inelastic phase. The ultimate load capacity rose by up to 26.48% and 33.25% with increases in concrete strength and tube wall thickness, respectively. Due to aluminum's relatively low elastic modulus, introducing the confinement reduction factor (kal) and modulus reduction coefficient (ka) into existing Concrete-Filled Steel Tube (CFST) formulas significantly improved accuracy, aligning predictions with experiments. Theoretical analysis further indicates that when the aluminum content ratio (a) is below 0.1, ka approximates 1, allowing direct calculation using CFST theory without reduction. These results provide valuable theoretical guidance for the design and engineering application of CFAT short columns.

Key Words
axial compression behavior; concrete-filled aluminum alloy tube; confinement effect coefficient; finite element analysis; modulus of elasticity reduction coefficient

Address
Liangzhi Wang:1)School of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2)Shengjing Hospital of China Medical University, Shenyang 110004, China

Bing Li:School of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, China

Songlin Li: School of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, China

Bo Zhou:School of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, China

Jiaxu Li:School of Management, Shenyang Jianzhu University, Shenyang 110168, China


Techno-Press: Publishers of international journals and conference proceedings.       Copyright © 2026 Techno-Press ALL RIGHTS RESERVED.
P.O. Box 33, Yuseong, Daejeon 34186 Korea.
General Inquiries: info@techno-press.com / Journal Administration: admin@techno-press.com