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| CONTENTS | |
| Volume 43, Number 5, December10 2025 |
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- Experimental study on the synergistic reinforcement of silt using EICP and magnesium oxide Bao min Liu, Wan juan He, Lin xian Gong and Yan Xu
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| Abstract; Full Text (4205K) . | pages 343-358. | DOI: 10.12989/gae.2025.43.5.343 |
Abstract
In response to the challenges of high silt content, poor cohesion, and loose structure in the Yellow River floodplain,
this study proposes a combined reinforcement method using enzyme-induced carbonate precipitation (EICP) and MgO to
enhance mechanical properties. By adjusting the cementation solution concentration and MgO amount, the mechanical
characteristics of the reinforced silt were systematically analyzed, and the reinforcement mechanism was thoroughly
investigated. Results show that while cementation solution concentration significantly affects calcium carbonate precipitation
during EICP, excessively high concentrations inhibit urease activity. The addition of MgO promotes magnesium carbonate
hydroxide formation, improving mechanical properties and increasing unconfined compressive strength to a maximum of 5000
kPa, with distinct brittle failure characteristics. Residual strength, elastic modulus, and peak strength also improved. Although
MgO delays flocculation and precipitation processes, it increases carbonate production. SEM and XRD analyses reveal that
increasing cementation solution concentration and MgO content reduces inter-particle porosity and enhances soil microstructural
stability. Overall, the combined EICP–MgO method shows exceptional strength improvement in silt, highlighting its practical
applicability and innovative advantage over EICP alone.
Key Words
bio-cementation; enzyme-induced carbonate precipitation; ground improvement; MgO; silt
Address
Bao min Liu, Wan juan He and Lin xian Gong : Institute of Resource and Environment, Henan Polytechnic University, Jiaozuo, Henan 454000, China
Yan Xu: Construction Engineering College, Jilin University, Xin Min Zhu Street, Changchun, Jilin 130026, China
- Enhancing the strength of Indian desert sand using gum and starch biopolymers Monika Dagliya and Neelima Satyam
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| Abstract; Full Text (4416K) . | pages 359-367. | DOI: 10.12989/gae.2025.43.5.359 |
Abstract
This study introduces an innovative approach, utilizing the ultrasonic pulse velocity (UPV) test, to assess the strength
of desert sand samples treated with biopolymers, including various combinations of pore volumes (PV) and biopolymer
concentrations. Consequently, unconfined compressive strength (UCS) and split tensile strength (STS) tests were performed on
the treated desert sand to gauge the effectiveness of different biopolymers, specifically Starch and Gum varieties. The objective
of this research is to highlight the significance of biopolymers as environment pleasant solution for enhancing the mechanical
qualities of desert sand. The study incorporates five different biopolymers, including Corn starch (CS), Potato starch (PS),
Tapioca starch (TS), Xanthan Gum (XG), and Guar Gum (GG) in varying concentrations (1%, 2%, and 3%), and two distinct
pore volumes, 1PV and 0.75PV. The outcomes of UCS, UPV, and STS tests demonstrated that the strength of the sand increases
as the biopolymer interacts with it up to a certain concentration. XG exhibited superior performance compared to GG, while
among the starches, CS delivered the best results. Moreover, the study finds that pore volume plays an important role when
interacting with sand. It was found that the 0.75 PV performs better than the 1 PV. The highest recorded UCS value was 891 kPa
for the 3% CS treatment with 0.75 PV, whereas the lowest UCS value was 135 kPa for the 3% PS treatment with 1 PV.
Likewise, the maximum STS value was 201 kPa for the 3% XG treatment with 0.75 PV, while the minimum STS value was 31
kPa for the 3% PS treatment with 1 PV. Furthermore, the minimum and maximum values from the UPV test were 798 m/s and
1270 m/s, respectively, which showed that all samples have strength. SEM and EDX tests for microstructure analysis have been
performed to show bonding among particles.
Key Words
biopolymers; desert sand; gum; starch; UPV
Address
Monika Dagliya: Department of Civil Engineering, Prestige Institute of Engineering Management and Research, Indore, India
\Neelima Satyam: Department of Civil Engineering, Indian Institute of Technology Indore, India
- Reliability-based optimization of MSE walls considering internal stability Zafar Mahmood, Mohsin Usman Qureshi, Ali Murtaza Rasool and Syed Bilal Ahmed Zaidi
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| Abstract; Full Text (2274K) . | pages 369-378. | DOI: 10.12989/gae.2025.43.5.369 |
Abstract
This study presents a reliability-based optimization (RBO) framework for the internal stability of mechanically
stabilized earth walls, addressing reinforcement rupture and pullout limit states. The target reliability is set to B = 3.09 (Pf
= 10−3). The MSE wall, reinforced with steel strips, founded on cohesionless soil, with horizontal backfill and uniform live
traffic surcharge is considered. Uncertain variables in rupture and pullout limit states are unit weight and friction angle of
backfill soil; uniform live surcharge load; and yield strength of steel strips. The reliability index is calculated by the first-order
reliability method (FORM). Constrained optimization with linear approximation (COBYLA) is used for determination of
reliability index and optimization of reinforcement length. For rupture, optimizing horizontal spacing at fixed vertical spacing
yields designs that satisfy B > 3.09 at every depth with minimum factor of safety FSRP = 1.7 to 1.8 and a near heightindependent
B–FS relationship. For pullout, optimizing strip length shows the required length-to-height ratio decreases with wall
height and tighter vertical spacing: representative maxima of L/Hare 1.27, 0.83, 0.5 for H = 10 m at vertical spacing Sv = 1,
0.75, 0.5 m; 1.01, 0.7, 0.48 for H = 15 m; and 0.83, 0.6, 0.43 for H = 20 , respectively. Across cases, designs meeting B = 3.09
deliver factor of safety FS PG =2.10 at critical depth, but no unique B–FS mapping emerges for pullout. The framework
converges to B-compliant, materially efficient layouts and clarifies how wall height and reinforcement spacing jointly control
optimal L/H for pullout while leaving rupture behavior chiefly governed by spacing rather than wall height.
Key Words
constrained optimization; first-order reliability method; internal stability; MSE wall; reliability-based
optimization
Address
Zafar Mahmood: Department of Civil Engineering, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
Mohsin Usman Qureshi: Faculty of Engineering, Sohar University, Sohar, Oman
Ali Murtaza Rasool: National Engineering Services Pakistan, Lahore, Pakistan
Syed Bilal Ahmed Zaidi: University of Engineering and Technology Taxila, Taxila, Pakistan
Abstract
In the estimation of the design spectrum for sites with topographic irregularity, the instructions of the earthquake
codes are to use the horizontal components of the motions. Although this approximation remains conservative for horizontally
layered conditions, the effect of the P wave component at basins with 2D/3D bedrock geometry, due to the complicated
interaction among different wave types, would affect the basin amplification behavior. The major contribution of this study is to
present a quantitative ratio in terms of amplification factor for comparison between the simultaneous P+SV and only SV
incident wave condition. To attain this goal, a fully nonlinear analysis method capable of simultaneously application of the P and
SV incident motions in time domain is utilized. In this study, the effect of parameters such as clay type and basin depth is
investigated. The results show the effect of the P+SV cases on the frequency content of the surface response with respect to the
only SV case. It was seen that for the basin with 50m depth the aggravating effect of the P+SV incident wave remains under
20% for both soft and stiff clay types. This ratio reaches to 25% for 100 m depth basins. Along with the aggravating effect, the
results show a 10% to 20% suppressive effect of the P+SV especially at basins' center with dominant 1D behavior.
Key Words
amplification factor; basin edge effect; dynamic behavior; in-plane waves; nonlinear analysis; numerical
modeling; simultaneous P and SV wave's effect
Address
Hadi Khanbabazadeh: Engineering Faculty, Gebze Technical University, 41400 Gebze, Kocaeli, Turkey
- Experimental and numerical assessment of biological soil improvement on the bearing capacity of shallow foundations Javad Bidgoli, Ahad Bagherzadeh Khalkhali, Ali Derakhshani and Amin Bahmanpour
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| Abstract; Full Text (2475K) . | pages 391-403. | DOI: 10.12989/gae.2025.43.5.391 |
Abstract
Shallow foundations are widely used where surface soils can sustain structural loads without excessive settlement.
Various ground improvement methods, such as microbially induced carbonate precipitation (MICP), can increase bearing
capacity in cases where soil strength is insufficient. MICP promotes the formation of calcium carbonate between soil particles,
thereby improving interparticle bonding and enhancing soil strength. This study uses experimental testing and numerical
analysis to examine the impact of a biologically treated thin layer on the ultimate bearing capacity and failure mechanisms of
rectangular shallow foundations in sandy soils. Laboratory tests were conducted in a steel container measuring 100 cm in length,
70 cm in height, and 70 cm in width, examining the effects of different bacterial strains and varying treatment depths. Results
show that bacterial inoculation and subsequent MICP treatment significantly increase the cohesion and strength of sandy soils.
Introducing a biologically improved layer can increase the bearing capacity by up to three times. Positioning the treated layer at
the surface yields a bearing capacity more than 10% higher than placing it at half the effective depth. Among the tested bacteria,
Bacillus megaterium notably improves the soil's shear strength parameters compared to Sporosarcina pasteurii, resulting in an
over 50% increase in foundation-bearing capacity. Numerical simulations using PLAXIS, based on the mohr-coulomb
constitutive model, closely match the experimental findings, with a deviation of less than 10%.
Key Words
bearing capacity; MICP; PLAXIS; sandy soil; shallow foundation
Address
Javad Bidgoli, Ahad Bagherzadeh Khalkhali and Amin Bahmanpour: Department of Civil Engineering, SR.C., Islamic Azad University, Tehran, Iran
Ali Derakhshani: Department of Civil Engineering, Shahed University, Tehran, Iran
- Investigating the influence of compressive strength on energy release and instability mechanisms of modeled rock-like models containing prefabricated fissures based on AE and DIC technology Xianxiu Lu, Zhandong Su, Zeqi Hao, Jianyong Zhang, Xiaoli Liu, Mingdong Zang, Jinzhong Sun and Wenqiang Chi
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| Abstract; Full Text (5581K) . | pages 405-417. | DOI: 10.12989/gae.2025.43.5.405 |
Abstract
Rock fracture is a process of energy accumulation and subsequent release, in which rock mass strength significantly
influences this process. This study investigates the energy release and evolution of failure mechanisms in models with different
compressive strengths through uniaxial compression tests, acoustic emission techniques, and digital image correlation. The
experimental results indicate that during the yielding stage, there is a notable increase in the number of small-scale failures in the
models. The failure of the models, initially dominated by shear failure, progressively involves more tensile cracks. Before global
instability occurs, significant horizontal relative displacement and localized surface deformation are observed at the pre-existing
fissures. As the strength decreases, the models tend to exhibit a larger number of small-scale failures, and the failure mechanism
shifts toward a composite shear-tensile mode.
Key Words
energy; failure mechanism; local deformation; rock-like model
Address
Xianxiu Lu and Zeqi Hao: School of Disaster Prevention and Reduction Engineering, Institute of Disaster Prevention, Langfang, China, 065201
Zhandong Su and Jianyong Zhang: School of Disaster Prevention and Reduction Engineering, Institute of Disaster Prevention, Langfang, China, 065201;
Key Laboratory of Earthquake Disaster Prevention and Risk Evaluation of Hebei Province, Langfang, China, 065201
Xiaoli Liu: State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, China, 100084
Mingdong Zang and Jinzhong Sun: College of Engineering and Technology, China University of Geosciences, Beijing, China, 100083
Wenqiang Chi: China Railway 24th Bureau Group Zhejiang Engineering CO., LTD. Zhejiang, China, 310001

