Strain Distribution Research Articles

A Comparative Analysis of Fly Ash Enhanced Micropiles in Sustainable Foundation Systems

The construction industry is increasingly pressured to adopt sustainable practices that reduce environmental impact while ensuring structural integrity. This study investigates the comparative performance and sustainability of micro piles constructed with fly ash-enhanced grout mixtures (MFA) and conventional micro piles (MC). Fly ash, an industrial by-product is incorporated into the grout mixture to improve sustainability and enhance soil-structural stability. Comprehensive site investigations and numerical simulations were conducted to evaluate critical performance metrics, including Factor of Safety (FoS), deformation, settlement, and strain distribution, during pre- and post-construction phases. The results demonstrate that MFA systems exhibit superior performance, characterized by higher FoS, reduced deformation, and enhanced stability in settlement and strain profiles. These findings indicate that MFA delivers structural benefits and contributes to sustainability by utilizing waste materials. The study underscores the potential of MFA as a viable alternative to traditional micro pile systems, offering significant environmental and performance advantages. Further research is recommended to assess MFA systems' long-term performance and scalability in diverse geotechnical applications.

Mechanical behaviour of model gas pipes buried into sand and loaded in surface

This study focuses on the behaviour of buried gas pipelines subjected to surface loading. The study is oriented towards an experimental campaign carried out on small-scale pipelines, with three different wall thicknesses, both in monotonic and cyclic conditions. Pipes have been instrumented with strain gauges and inner displacement sensors, allowing to record deformations, stresses and ovalisation of the pipe, in addition to the load–settlement relationship at the soil surface. Results show that the presence of the pipe affects the global soil response (stiffness and bearing capacity). Analysis of the strain distribution and pipe deformed shape indicate that the pipe response is complex, with no symmetry along the horizontal axis, and a heart-shaped deformation pattern. The pipe rigidity affects the local behaviour at the pipe level (displacement pattern, evolution of stresses during cyclic loading and increasing lateral support). Classical pipeline design theory has been assessed based on the experimental observations, invalidating several underlying hypotheses.

Mechanical properties of mandibular and maxillary bone collagen fibrils based on nonlocal elasticity theory.

Mechanical properties of mandibular and maxillary bone collagen fibrils based on nonlocal elasticity theory.

The virtual fields method for identifying viscoelastic properties based on stress-sensitivity virtual fields

An inverse analysis technique is proposed for identifying characteristics from experimental data using the virtual fields method with stress-sensitivity-based virtual fields. Two-dimensional digital image correlation is used to obtain the inplane displacement and strain distributions on the specimen surface. To determine the stress distributions under the plane-stress condition, the numerical Laplace transform is used to obtain the through-thickness strain from the inplane strains based on the correspondence principle. Using the virtual displacement fields based on the stress sensitivity, the bulk and shear relaxation moduli, which represent the viscoelastic characteristics, are simultaneously identified. The various stress states generated by the specimen shape and their time variation in a single test and the use of the stress-sensitivity-based virtual fields make it possible to simultaneously determine two independent viscoelastic material properties. Therefore, this method is expected to make a significant contribution to the mechanics of viscoelastic materials.

Three-Dimensional Internal Deformation Measurement Methods for Hydrogels Based on Optical Coherence Tomography

Abstract Depth-resolved, non-contact, full-field three-dimensional (3D) deformation measurement is essential for the application of hydrogels in biomimicry, soft robotics, and optical components. However, current methods are constrained to surface measurements and encounter difficulties in underwater settings. Leveraging the 3D and depth-resolved imaging capabilities of optical coherence tomography (OCT), we propose an OCT-based method for measuring 3D deformation of hydrogels in water. This method integrates underwater electrically driven devices with a Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) based digital volume correlation (DVC) algorithm for 3D strain measurement. We conducted virtual tensile tests and underwater rigid body translation tests to validate the method. The results demonstrated that the strain calculation algorithm had an error of less than 80με and the system error for underwater strain measurement was less than 800με. Utilizing this innovative approach, we measured the 3D displacement and strain distributions within Carbon Nanotube (CNT)/Poly (acrylic acid/acrylamide) (CNT/P(AA/AM)) electro-responsive hydrogel samples. These samples were immersed in solutions of differing ionic concentrations and exposed to a range of direct current (DC) electric fields. We discovered that when subjected to electric fields ranging from 1 to 3 volts, the central region of the hydrogel experiences tensile deformation along the direction from electrode to another. However, when the electric field strength is increased to between 4 and 5 volts, the deformation transitions to a compressive state. Additionally, an increase in NaCl concentration results in a decrease in the overall deformation of the hydrogel. In addition, uniaxial tensile tests were carried out on polyvinyl alcohol (PVA) hydrogels underwater to further verify the method. It was demonstrated that the method can accurately capture the internal deformation field of notched PVA hydrogels in solution under uniaxial tension. The integrated OCT-DVC method offers a novel experimental framework for precise 3D deformation measurement and analysis of semi-transparent hydrogel mechanical behavior in liquid environments.

Experimental and numerical study on flexural enhancement of reinforced self-compacting concrete beams through various strengthening approaches

This investigation examines the efficiency of five distinct strengthening schemes employed to improve the flexural capacity of reinforced concrete (RC) beams. The adoption of strengthening schemes were near-surface mounted (NSM) using Glass fiber reinforced polymer (NSM-GFRP) and Basalt fiber reinforced polymer (NSM-BFRP) specimens, carbon fiber polymer (NSM-CFRP plate), welded wire mesh (NSM-WWM) and ultra-high performance fiber reinforced concrete (UHPFRC (layer. Seven RC beams with 1800 mm length, 150 mm wide, and 250 mm deep RC beam composed of self-compacting concrete (SCC) were tested under four-point bending. One RC beam with adequate flexural reinforcement functioned as the control, while the remaining six had insufficient reinforcement. One beam without strengthening represented the flexure-deficient control, while the other five were strengthened using NSM-GFRP rebars, NSM-BFRP, NSM-CFRP plate, NSM-WWM, and UHPFRC layer. The peak load, failure mode, load-deflection curve, cracking patterns, strain distribution, and ductility of each beam were thoroughly examined and compared. The findings of this investigation revealed that all adopted strengthening techniques led to an enhancement in the flexural capacity of the RC beams, ranging from approximately 18% to 118% in comparison to bare specimens. Beams reinforced with NSM CFRP plates exhibited a notable improvement in short-term deflection and crack width compared to the control beam, while beams strengthened with NSM FRP rebars demonstrated significant enhancements in load carrying capacity and ductility behavior. The enhancement in the flexural capacity of RC beams using small thickness of 20 mm UHPFRC layer and WWM layer was acceptable to the other strengthening schemes. The application of a UHPFRC layer also enhanced the beams’ capacity to control crack width. The UHPFRC layer stands out as a promising approach that can be employed for the restoration and recovery of flexure deficient RC beams. Analytical modeling was utilized to calculate the flexural capacity of the tested RC beams, producing outcomes closely consistent with experimental results.

Highly recoverable and robust rollable AMOLED display with smart elastomer materials

AbstractA new highly recoverable and robust AMOLED display with a novel double‐stacked structure consisting of two smart elastomer layers with high modulus and low modulus was suggested and significantly improved pen drop height from 2 cm to 9.5 cm with additional special treatment for elastomer layer removing electro‐static damage on panel image, coming from the increase of gate voltage of 1.2 V due to repeated friction between top layer and bottom layer during cyclic rolling. The top protective layer of elastomer enormously reduced the strain of the panel and PSA and therefore, lessened the deformation height of the rollable display at the edge up to 4 mm after a rolling radius of 15 mm and rolling cycles of 200,000, which looks almost flat. The top protective layer of elastomer with tensile hardening property was able to remarkably increase the energy damping effect for the pen drop test and led to the rise of pen drop height. The unique rolling strain distribution was systematically studied using a strain gauge sensor and simulation tool and validated by experimental results. This novel double‐stacked structure also showed outstanding environmental reliability results as well.

Biomechanical analysis of All-on-4 implant supported framework using different materials across various clinical practice

BackgroundWith the global aging trend, the number of edentulous individuals is steadily increasing. All-on-4 implant restoration can greatly recovery masticatory function in edentulous patients. This study aims to determine the effect of framework material and cantilever length on the stress distribution in All-on-4 implant components using three-dimensional finite element analysis, thereby providing clinicians with insights into the design of All-on-4 superstructures to improve patient outcomes.MethodsFive framework models with cantilever lengths of 0 mm, 3 mm, 6 mm, 9 mm, and 12 mm were established, with the cantilever material selected as either titanium (Ti) or polyetheretherketone (PEEK). The jawbone, implant, and framework models were then assembled, with four implants placed in the jawbone according to the classic All-on-4 design and connected to the framework via abutments. Finally, occlusal forces were applied to the framework. Finite element analysis was used to obtain the stress and strain distribution in the jawbones, as well as the stress distribution within the implants and the frameworks.ResultsOverall, the use of a PEEK framework demonstrated better stress distribution in the jawbone due to its elastic modulus, the maximum stress of which is 26% lower at most than Ti. Although PEEK frameworks showed lower stress overall, implant stress increased, particularly for cantilever lengths over 6 mm, reaching values up to 2.6 times higher than in titanium.ConclusionsCantilever length and framework material are interrelated factors that both influence the stress distribution in the All-on-4 system. A PEEK framework can serve as an alternative to titanium framework in short cantilever lengths (under 6 mm), offering slightly better mandibular protection. Titanium is preferable for lengths between 6 mm and 9 mm to reduce mechanical risk. Cantilever lengths exceeding 12 mm are discouraged due to increased stress.Trial registrationNot Applicable.

A new layered shell model for reinforced concrete walls II: experimental validation against quasi-static tests

Abstract Nonlinear analysis procedures used in performance-based design/assessment of structural systems with reinforced concrete walls are subject to much improvement, upon implementation of a reliable modeling approach that is capable of accurately simulating the nonlinear response characteristics of both planar and non-planar walls at both global (force-displacement, moment-rotation, torque-twist) and local (e.g., strains, shear deformations, flexural deformations) response levels under combined and multi-directional loading conditions. Towards this objective, a novel nonlinear layered shell element, referred to as the Layered Fixed-Strut-Angle Finite Element (LFSAFE) model, was developed and implemented in OpenSees. In this paper, the effectiveness and accuracy of the LFSAFE model is experimentally-validated, via simulation of test results presented in the literature for non-planar (U-shaped and H-shaped) walls specimens subjected to quasi-static multi-directional lateral and torsional loading conditions. Model results obtained for U-shaped wall specimens under uni-directional lateral loading, bi-directional lateral loading, and pure torsion, as well as for H-shaped wall specimens tested under combined lateral and torsional loading, are systematically compared with test results to assess the capabilities of the model. Comprehensive response comparisons provided in this paper demonstrate that the LFSAFE model can accurately simulate salient response attributes of non-planar walls under combined loading, in terms of hysteretic load-displacement and torque-twist behavior, lateral load and torque capacity, stiffness, ductility, as well as contribution of flexural and shear deformations to lateral displacements and the vertical strain distributions developing both along the wall height and across the wall cross section.

Large Area and Flexible Flexion Sensing Matrix for Detection of Strain Distribution in Bendable and Curved Surface.

Flexible flexion sensors are attracting attention due to their wide range of applications. It is urgent to develop a flexible sensor matrix to detect strain distribution on curved surfaces for object surface posture reconstruction, fault detection, and predictive maintenance. Herein, a convenient and universal method for preparing a flexible flexion sensor matrix is proposed using a versatile screen-printing technique. Compared to traditional thin film configurations, this process improved the sensitivity by introducing multiple interfaces and can be used for the fabrication of large-area flexion sensor matrix with high stability and consistency. The prepared flexible flexion sensors performed with a low detection limit (0.07%), a remarkable gauge factor (>50), and high stability (no apparent decay after 2000 bending-releasing cycles). We also demonstrated their applications in monitoring human body movement and gesture recognition. The sensors were integrated into a data glove for real-time robotic arm control, and achieved an accuracy rate of over 96% in recognizing various gestures with a neural network model. A large area flexible flexion sensor matrix (8 × 8) was fabricated by full-printing technique and enables simultaneous monitoring of multiposition bending states, which has significant potential in real-time tracking the strain distribution in bendable and curved surfaces.

Average Biomechanical Responses of the Human Brain Grouped by Age and Sex.

Traumatic brain injuries (TBIs) occur from rapid head motion that results in brain deformation. Computational models are typically used to estimate brain deformation to predict risk of injury and evaluate the effectiveness of safety countermeasures. The accuracy of these models relies on validation to experimental brain deformation data. In this study, we create the first group-average biomechanical responses of the brain, including structure, material properties, and deformation response, by age and sex from 157 subjects. Subjects were sorted intro three age groups-young, mid-age, and older-and by sex to create group-average neuroanatomy, material properties, and brain deformation response to non-injurious loading using structural and specialized magnetic resonance imaging data. Computational models were also built using the group-average geometry and material properties for each of the six groups. The material properties did not depend on sex, but showed a decrease in shear stiffness in the older adult group. The brain deformation response also showed differences in the distribution of strain and a decrease in the magnitude of maximum strain in the older adult group. The computational models were simulated using the same non-injurious loading conditions as the subject data. While the models' strain response showed differences among the models, there were no clear relationships with age. Further studies, both modeling and experimental, with more data from subjects in each age group, are needed to clarify the mechanisms underlying the observed changes in strain response with age, and for computational models to better match the trends observed across the group-average responses.

An integrated experimental and analytical approach for the analysis of the mechanical interaction between metal porous scaffolds and bone: implications for stress shielding in orthopedic implants

IntroductionMetal porous structures are becoming a standard design feature of orthopedic implants such as joint endoprostheses. The benefits of the pores are twofold: 1) help improve the cementless primary stabilization of the implant by increasing osteointegration and 2) reduce the overall stiffness of the metal implant thus minimizing stress-shielding. While the mechanical interaction between porous implants and bone has been extensively investigated via complex numerical and finite element models, scarce is the in vitro and in vivo data on the effect of porosity and materials on stress and strain distribution in the implant-bone compound.Materials and methodsAn integrated numerical and experimental approach was used to investigate the effect of material and porosity on the mechanical interaction in compression between porous metal scaffolds and bovine cortical bone. 18 × 18 × 6 mm cuboid samples were cut from fresh-frozen bovine cortical bones. A 9 × 6 × 6 cavity was obtained in each sample to allow insertion of CoCrMo porous and full density scaffolds. Digital Image Correlation analysis tracked bone strain during axial compression of the scaffold-bone samples up to bone failure. The experimental strain data were compared to those from finite element analysis (FEA) of the scaffold-bone compound. The effect of scaffold porosity and material - Ti6Al4V and CoCrMo - on bone strain distribution and reactions forces, with respect to full bone samples, was assessed via FEA and an analytical spring-based model of the bone-scaffold compound.ResultsThe experimental data revealed that the porous scaffold resulted in bone strain closer to that of the intact bone with respect to full density scaffolds. FEA showed that Ti6Al4V scaffolds result in bone strain and reaction forces closer to the those in the intact bone with respect to those in CoCrMo scaffolds. The 1,000 µm pores scaffolds resulted significantly more effective in improving reaction forces with respect to the 500 µm pores scaffolds.ConclusionThe present findings confirm that metal porous scaffolds help promote a more uniform distribution to the bone compared to full density implants. Ti6Al4V scaffolds demonstrated a more favorable mechanical interaction compared to CoCrMo. This integrated approach offers valuable insights into the design of orthopedic implants with optimized mechanical and osseointegration properties.

Comparison of Surface Strains of Polymeric Frameworks for Fixed Implant-Supported Prostheses: A Digital Image Correlation Study

The gold standard materials used for frameworks of full-arch implant-supported fixed prostheses (ISFPs) have traditionally been metal alloys, but recently, high-performance polymers such as polyetherketones and fibre-reinforced resins have been gaining popularity despite the lack of evidence of load-bearing capacity. The aim of the present study was to evaluate the displacements and strains of milled polymeric frameworks for full-arch ISFPs using 3D digital image correlation. Methods: Twelve frameworks were milled from four polymeric materials (three per group): polyetheretherketone (PEEK), polyetherketoneketone (PEKK), poly(methyl methacrylate) (PMMA) and fibre-reinforced composite (FRC). Each framework was fitted with titanium links and screwed to implant analogues embedded in resin and tested for static load-bearing capacity up to 200N. Displacements were captured with two high-speed photographic cameras and analysed with a video correlation system on three spatial axes, U, V, and W, along with principal tensile, compressive and von Mises strains. Results: PEEK exhibited the highest displacement, indicating greater flexibility, while FRC showed the lowest displacement, suggesting enhanced rigidity. Von Mises strain analysis revealed that PMMA and PEEK experienced higher strain, whereas PEKK and FRC demonstrated lower strain distribution. Bayesian ANOVA provided strong evidence for material differences. Conclusion: FRC exhibited superior load-bearing characteristics, reinforcing its potential as a viable clinical alternative to metal-based ISFPs.

In-plane bearing capacity analysis of concrete catenary arch with rigid skeleton: test and simulation

Although the rigid skeleton concrete arch has been widely used in engineering, the research on the failure mode and bearing capacity of this kind of arch is very few, and the previous research on the bearing capacity of arch is mostly concrete arch or concrete filled steel tube arch. To better understand the mechanical properties of rigid skeleton catenary arches, three arch models with a span of 12 m were constructed. The study focuses on the in-plane failure mode and mechanical characteristics of the arches. It analyzes the variation law of the load–displacement curve, the section strain characteristics, the strain behavior of the steel tube and concrete encasement, and the influence of different loading methods and longitudinal reinforcement ratio on the mechanical properties of arch. On this basis, based on the verified ANSYS simulation model, the influence of key parameters such as arch axis coefficient and rise span ratio on the bearing capacity of arch ribs under multi-point loading is analyzed. The load–displacement curve of rigid skeleton concrete arch has experienced three typical stages: elasticity, crack propagation, and yield of reinforcement and steel tube. And the plastic deformation of arch rib is increased in crack stage and steel tube yield stage. Regardless of the load at L/2 or at the quarter point, when the arch rib is damaged, the concrete crack at the loading point develops fully, the concrete is crushed, and the steel tube and reinforcement yield. Compared with the concrete arch without rigid skeleton, the bearing capacity of the arch under L/2 and quarter point loading conditions increases by 45.6% and 43.7%, respectively. The rigid skeleton and concrete can resist external loads together. The contribution of rigid skeleton to the bearing capacity of arch can not be ignored. Under different levels of load, the strain distribution of encased concrete and steel tubes along the section height is coincident. The encased concrete and steel tube of the rigid skeleton arch can work together without sliding. When the arch rib is subjected to multi-point symmetrical loads, the slenderness ratio has the greatest influence on the bearing capacity, followed by the arch axis coefficient. Among them, the slenderness ratio changes from 48 to 90, resulting in a 52.2% reduction in the bearing capacity. When the slenderness ratio changes from 90 to 130, the bearing capacity decreases by 46.4%.

Research on Structural Mechanics Stress and Strain Prediction Models Combining Multi-Sensor Image Fusion and Deep Learning

The integration of multi-sensor imaging and deep learning techniques has emerged as a pivotal innovation in advancing structural mechanics, particularly in the prediction of stress and strain distributions. This study falls within the thematic scope of multi-sensor imaging and fusion methods, emphasizing their crucial role in assessing material behavior under complex conditions. Traditional methodologies, such as finite element methods and classical constitutive models, often fall short in capturing the intricacies of heterogeneous materials and nonlinear stress–strain relationships. These limitations necessitate a more robust computational framework capable of addressing material variability and computational efficiency challenges. To this end, we propose the Stress–Strain Adaptive Predictive Model (SSAPM), which synergizes mechanistic modeling with data-driven corrections. Leveraging hybrid representations, adaptive optimization strategies, and modular architectures, SSAPM ensures precision by embedding physics-informed constraints and reduced-order modeling for computational scalability. Experimental validations underscore the model’s capability to generalize across diverse structural scenarios, outperforming conventional approaches in accuracy and efficiency. This work establishes a transformative pathway for incorporating multi-sensor data fusion into structural analysis, advancing the predictive power and applicability of stress–strain models.

Theoretical Model of the Island Effect in Flexible Electronics under Equal Biaxial Stretching

AbstractIsland‐bridge architecture represents a widely used structural design strategy in the field of stretchable inorganic electronics, where flexible serpentine interconnects function as bridges to accommodate most of the deformation, while the islands residing functional devices exhibit minimal deformation. The mismatch of Young's modulus between the elastic substrate and the rigid islands usually leads to stress concentration, which is named the island effect. This phenomenon can significantly increase the risk of interfacial damage, such as debonding and tearing failure near the island. In this work, the mechanical model of the island effect under equal biaxial stretching is developed based on theoretical analysis, simulation, and experimental measurement. The scaling law of the displacement and strain distributions on the substrate surface illustrates that the ratio of the island radius to the substrate length is the main controlling parameter of the island effect, proved by the experimental and numerical results. The criterion distinguishing whether the island effect problem is axisymmetric is derived from this. Further, the deformation field in periodic array structure is predicted based on the theoretical model, demonstrating its potential for application in flexible electronic devices.

Mechanical Performance of Group Stud Connectors in Steel–Concrete Composite Beams with Straddle Monorail

A steel–concrete composite beam with a straddle monorail is a lightweight and easily installable structure. The mechanical performance of group stud connectors and their arrangement are key design parameters that govern the beam’s overall performance. This study investigates the behavior of group stud connectors by conducting push-out tests on four specimens, comprising three full-scale models and one 1:3 scaled model. Variables such as the number of connectors, arrangement, and specimen size were explored. The results indicated that all the specimens exhibited ductile failure due to stud shearing. The strain distribution analysis revealed higher strain at the edges and lower in the middle, persisting as the load increased. The group stud effect resulted in a 23.4% to 27.2% reduction in shear capacity for the full-scale specimens and 16.5% for the scaled specimen. The reduction was proportional to the density of the studs, but the size effects were less significant. This study provides valuable insights into the mechanical behavior of group stud connectors and offers design recommendations for practical applications.

DDSSnet: a fast strain demodulation approach for OFDR-based fiber shape reconstruction.

In optical fiber shape sensing technology, enhancing sensing accuracy while simultaneously achieving real-time shape reconstruction presents a notable challenge. This work presents a fast strain demodulation algorithm for the optical frequency domain reflectometry (OFDR) shape sensing system. The fast strain demodulation algorithm comprises deviation calculation and deviation denoising for shape-sensing convolutional neural network (DDSSnet). The initial operating wavelengths of the shape sensor can be effectively calibrated and the phase noise of residual nonlinear tuning in the system can also be compensated. Compared with the cross-correlation algorithm, the fast strain demodulation algorithm has increased the processing speed of demodulating axial strain distribution by 9.691 times and a shape-sensing result by 9.4 times. The shape of one cylinder and one configuration were then reconstructed using the rotation-minimum frame, resulting in maximum relative errors of 0.581% and 1.170%, respectively, and average relative errors of 0.204% and 0.380%, respectively. These errors are all slightly smaller than those obtained using the cross-correlation algorithm. The results from the shape-sensing experiments indicate that this method enables both faster and more accurate shape reconstruction, offering promising potential for practical applications.

Effect of Material Modeling on Prediction of Isothermal Formability of AA6082-O Sheet at Elevated Temperature

Aluminum alloy sheets are widely considered for manufacturing lightweight thin-walled structural components in the automotive and aerospace industries. However, the poor formability of the material at room temperature is still a technical challenge. Warm forming evolved as a promising technology where the sheet metal is deformed at elevated temperatures below the recrystallization temperature. Numerical modeling is vital in the modern scenario to better understand formability and to improve the designing of tooling for complex sheet components during warm forming. Hence, it is imperative to understand the accuracy of material models on formability predictions at elevated temperatures. This work presents the effect of three yield criteria, namely, von Mises, Hill-48, and Barlat-89, on the formability predictions of AA6082-O sheet at elevated temperature, say, 200 °C. Analytical necking-based Marciniak-Kuczynski forming limit diagrams (MK-FLD) at the elevated temperature were predicted by incorporating these yield models. The accuracy of predicted MK-FLDs was validated with experimental data. Furthermore, finite element (FE) modeling of limiting dome height (LDH) tests was performed using sample sizes that developed deformation modes towards biaxial, plane strain, and uniaxial modes. The effect of different yield models on the forming behavior was studied in terms of part depths and major surface strain distributions. The compatibility of yield criteria on accuracy in prediction was assessed by overlapping with the experimental data. It was demonstrated that Barlat-89 was best suited compared to Hill48 and von Mises yield models.

Antibiotic Resistance Patterns of <i>Pseudomonas aeruginosa</i> Isolated from Clinical Samples in Khyber Pakhtunkhwa, Pakistan

Background: Pseudomonas aeruginosa is a major opportunistic pathogen responsible for a wide range of nosocomial infections. Its increasing multidrug resistance (MDR) poses significant treatment challenges, especially in low-resource settings like Khyber Pakhtunkhwa, Pakistan, where updated surveillance data are limited. Objective: This study aimed to determine the prevalence and antibiotic resistance patterns of Pseudomonas aeruginosa isolated from various clinical specimens, and to assess the distribution of MDR strains across different sample types in tertiary care hospitals of Khyber Pakhtunkhwa. Methods: A cross-sectional observational study was conducted from February 2024 to February 2025 using 107 non-duplicate clinical isolates of P. aeruginosa. Isolates were collected from five tertiary hospitals, confirmed through standard biochemical tests, and tested for antimicrobial susceptibility using the Kirby-Bauer disk diffusion method following CLSI M100 guidelines (34th edition, 2024). MDR was defined as resistance to at least one agent in three or more antibiotic classes. Ethical protocols adhered to biosafety standards consistent with the Declaration of Helsinki. Data were analyzed using SPSS v27.0 with descriptive and chi-square statistical analyses. Results: Colistin showed the highest sensitivity (83.2%), followed by meropenem (64.5%) and imipenem (53.3%), while ciprofloxacin (89.7%) and levofloxacin (87.9%) had the highest resistance. MDR was most frequent in sputum (53.8%) and pus (51.8%) samples. No significant association was found between MDR distribution and sample type (χ² = 4.93, p = 0.553). Conclusion: The study underscores the alarming resistance trends in P. aeruginosa, highlighting colistin and carbapenems as the most reliable treatment options. These findings advocate for targeted antimicrobial stewardship and periodic resistance surveillance to mitigate therapeutic failures in clinical practice.