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Nonlinear behavior of fixed-end RC beams with circular openings based on experimental and finite element analysis

Scientific Reports Huseyin Hilmi Aslanbay, Fatih Altun Jun 11, 2026 DOI: 10.1038/s41598-026-56645-9

Abstract Reinforced concrete (RC) beams often require service openings due to architectural and utility demands. However, such openings lead to stress concentrations caused by the reduction in the concrete cross-section and the absence of transverse reinforcement, which can adversely affect the structural performance of beams and lead to premature failures. Despite extensive research on RC beams with openings, most studies have been conducted under simply supported conditions, which do not accurately represent real structural behavior. This study aims to investigate the structural behavior of RC beams with circular mid-span openings under fixed-end (encastre) boundary conditions through both experimental testing and numerical analysis. Openings were introduced in the bending region at 20%, 40%, and 60% of the beam height. Full-scale beam specimens were tested under four-point bending, and detailed nonlinear finite element models were developed using ABAQUS software. The results show that openings exceeding 40% of the beam height significantly reduce ductility and lead to sudden load drops. Additionally, when openings exceed 20%, the remaining concrete section around the opening plays a critical role in load transfer and bond performance. The numerical results exhibit strong agreement with the experimental findings, demonstrating that the proposed modeling approach can reliably capture the structural behavior of beams with openings. The findings provide important insights into the realistic behavior of fixed-end RC beams and contribute to the safe and efficient design of structural members with service openings.

Adsorption mechanisms of methylene blue and methyl orange on activated carbon: scientific interpretation and modeling simulation

Scientific Reports Hedi Jedli, Souhail Mohammed Bouzgarrou, Rym Hassani et al. Jun 11, 2026 DOI: 10.1038/s41598-026-52640-2

A deep learning framework for emotion recognition in music using multimodal data fusion

Scientific Reports Runhua Li Jun 11, 2026 DOI: 10.1038/s41598-026-50471-9

A versatile method for accurately predicting electronic absorption spectra of tetrapyrrole macrocycles

Scientific Reports Guofan Zhang, Xuanzhi Wang, Qirui Sun et al. Jun 11, 2026 DOI: 10.1038/s41598-026-55436-6

Association of income inequality and aggregate health indicators in Japan: analyses of prefecture-level panel data

Scientific Reports Hitoshi Murakam, Azusa Iwamoto, Ayako Masu et al. Jun 11, 2026 DOI: 10.1038/s41598-026-57318-3

Intelligent english education resource recommendation via LLM–knowledge graph integration and ecological niche fitness modeling

Scientific Reports You Wang, Dong Han Jun 11, 2026 DOI: 10.1038/s41598-026-56933-4

The Amazon can be saved — with concerted action inside and outside Brazil

Nature Jun 11, 2026 DOI: 10.1038/d41586-026-01824-x

Design and temperature assessment of analog/RF and linearity parameters on dual material gate junctionless FinFET at 7 nm technology node for nano scale applications

Scientific Reports Rambabu Kusuma Jun 11, 2026 DOI: 10.1038/s41598-026-53465-9

Antibacterial activity, phytochemical profiling and ADMET prediction of bioactive compounds in Origanum syriacum and Salix alba

Scientific Reports Nour S. Basudan, Asmaa A. El-Hefnawy, Shimaa El-Sapagh et al. Jun 11, 2026 DOI: 10.1038/s41598-026-50519-w

Coupled experimental and numerical parametric study of projectile penetration into granular sandy soils under low-velocity impact

Scientific Reports Abdul-Rahman K. Osman, Ahmed Elshesheny, Mohamed S. Zahran et al. Jun 11, 2026 DOI: 10.1038/s41598-026-51342-z

Abstract This study presents a parametric investigation of soil-projectile interaction under low-velocity penetration with a focus on the joint effect of granular soil properties and projectile characteristics. First, experimental free-fall vertical drop tests were performed on conical-headed projectiles with different apex angles and masses penetrating compacted sandy soil with different degrees of relative density. More extensive studies were carried out through numerical simulation performed with the Abaqus 2024 software to validate the experimental test results and to examine other variables such as different internal friction angles, dropping heights, projectile diameters, nose configurations, angles of impact, as well as cratering. Complementary analyses were performed to investigate projectile acceleration, energy absorption, stress, and plastic strain distribution in the soil body. The results showed that penetration depth decreased with increasing sand relative density, internal friction angle, projectile diameter, and projectile apex angle, while it increased with increasing projectile mass, drop height, and impact angle. Crater diameter was found to increase mainly by increasing drop height and projectile diameter, while its sensitivity to internal friction angle remained comparatively limited within the investigated range. To improve the physical interpretability of the results, dimensionless correlations were developed and combined with correlation-based and response-span-based sensitivity assessments to clarify the relative importance of the governing parameters. Within the investigated conditions, the study provides a validated experimental–numerical framework for interpreting low-velocity projectile penetration in granular sandy soils and for identifying the parameters that most strongly control penetration depth and crater development.

Numerical characterization of electrochemical transport in three-dimensional rhombic zero-depth pores

Scientific Reports Mohammad Matin Behzadi, Nika Sadat Moussavi Zarandi, Philippe Renaud et al. Jun 11, 2026 DOI: 10.1038/s41598-026-57723-8

A comparative study of quantum-inspired PSO and EA with their binary variants for heart disease classification

Scientific Reports Serkan Örücü Jun 11, 2026 DOI: 10.1038/s41598-026-57736-3

Gen Z scepticism towards AI is a wake-up call — universities must take it seriously

Nature Mim Rahimi Jun 11, 2026 DOI: 10.1038/d41586-026-01814-z

A novel bicistronic vector inducing balanced alternative splicing for antibody production

Scientific Reports Shoutaro Tsuji Jun 11, 2026 DOI: 10.1038/s41598-026-57819-1

Abstract Efficient and stable production of recombinant monoclonal antibodies requires sufficient expression of light (LC) and heavy (HC) chains within host cells. Conventional bicistronic systems such as internal ribosome entry site (IRES)- or 2 A peptide–based vectors often suffer from imbalanced translation efficiencies or the presence of residual peptide tags that can compromise antibody quality. We developed a novel bicistronic expression platform, designated the cassette exon–associated (CAE) system, which exploits alternative splicing derived from the HEG1 gene to generate two mRNA isoforms from a single promoter. The CAE cassette contains synthetic splice donor and acceptor sequences that enable expression of LC and HC without additional peptide sequences. The optimized construct, pCAE3.31, driven by various promoters—including chicken β-actin, cytomegalovirus, and human elongation factor-1α—efficiently expressed functional antibodies in multiple mammalian cell lines. Compared with IRES-based systems, the CAE vector achieved an 8-fold higher antibody yield. Fab fragments were also produced using the CAE system. The CAE system represents a compact and versatile bicistronic expression strategy that ensures expression of LC and HC, avoids extraneous peptide fusion, and is compatible with major mammalian promoters. This platform facilitates efficient production of recombinant antibodies and Fab fragments, supporting screening and potential therapeutic applications.

Reviving formalin-fixed, paraffin embedded (FFPE) tissues for on-slide and multiscale correlative microscopy

Scientific Reports Zenan Chen, Chad Moore, Samson Dowland et al. Jun 11, 2026 DOI: 10.1038/s41598-026-56823-9

Becoming a mother leaves long-lasting molecular memories

Nature Frances A. Champagne Jun 11, 2026 DOI: 10.1038/d41586-026-01327-9

Study on rockburst mechanism and risk identification for isolated working face in extra-thick coal seam fold zone

Scientific Reports Yongqin Xie, Anye Cao, Geng Li et al. Jun 11, 2026 DOI: 10.1038/s41598-026-49721-7

Dissecting bi-directional neuroimmune crosstalk in an in vitro model relevant to apical periodontitis

Scientific Reports Nandita Menon, Tatiana D. Mayorova, Adriano Senatore et al. Jun 11, 2026 DOI: 10.1038/s41598-026-56016-4

Mechanical energy analysis identifies compensatory strategies in individuals with and without Non-specific chronic low back pain

Scientific Reports Mohammad Yousefi, Mohsen Ramezani, Saeed Ilbeigi et al. Jun 11, 2026 DOI: 10.1038/s41598-026-56708-x

Building user-driven climate adaptation products

Nature Nabig A. Chaudhry, William D. Collins, David Anthoff et al. Jun 11, 2026 DOI: 10.1038/s41586-026-10555-y