Determining Orders of Modes Sensitive to Hinge Joint Damage in Assembled Hollow Slab Bridges

2022 ◽  
Vol 27 (3) ◽  
Author(s):  
Jian Zhang ◽  
Ting-Hua Yi ◽  
Chun-Xu Qu ◽  
Hong-Nan Li
Keyword(s):  
Joint Damage ◽  
Hinge Joint

scholarly journals System Reliability Evaluation of Prefabricated RC Hollow Slab Bridges Considering Hinge Joint Damage Based on Modified AHP

2019 ◽  
Vol 9 (22) ◽  
pp. 4841 ◽  
Author(s):  
Hanbing Liu ◽  
Xirui Wang ◽  
Guojin Tan ◽  
Xin He ◽  
Guobao Luo
Keyword(s):  
System Reliability ◽  
Evaluation Method ◽  
Joint Damage ◽  
Highway Bridges ◽  
Reliability Evaluation ◽  
Actual System ◽  
Parallel Methods ◽  
Hinge Joint ◽  
Judgment Matrix ◽  
Bridge System

The prefabricated reinforced concrete (RC) hollow slab bridges, with the advantages of high quality, lower cost and shorter construction period, have been widely used for small-to-medium-span highway bridges in China. Because of environmental deterioration and traffic volume increases, the performance of the bridge system deteriorates gradually. Accurate bridge system evaluation can provide a reliable basis for maintenance and management. A bridge system is composed of multiple interrelated components, which makes the system reliability evaluation become a computationally intractable work. In this paper, an effective method was proposed to evaluate the system reliability of the prefabricated RC hollow slab bridge considering hinge joint damage based on the modified analytic hierarchy process (AHP). Considering the subjectivity of the traditional AHP method in constructing the judgment matrix, this paper proposed an objective construction method of the judgment matrix to modify the traditional AHP. The modified hinge plate method (MHPM) proposed by the previous research was utilized to analyze the effect of hinge joint damage on system reliability. In order to verify the applicability of the proposed system reliability evaluation method, a simply supported RC hollow slab bridge was selected as the case study and the system reliability indexes were compared with the traditional series and parallel methods. The results indicated that the traditional methods were either too conservative or too radical to objectively evaluate the actual system reliability level of the structure. In contrast, the proposed method in this paper was more suitable for evaluating the system reliability of such bridges, and more accurate in providing maintenance decision makers with a relatively reasonable bridge condition information.

scholarly journals Damage Identification Algorithm of Hinged Joints for Simply Supported Slab Bridges Based on Modified Hinge Plate Method and Artificial Bee Colony Algorithms

Algorithms ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 198 ◽  
Author(s):  
Hanbing Liu ◽  
Xin He ◽  
Yubo Jiao
Keyword(s):  
Artificial Bee Colony ◽  
Damage Identification ◽  
Joint Damage ◽  
Identification Accuracy ◽  
Identification Algorithm ◽  
Plate Method ◽  
Simply Supported ◽  
Hinge Joint ◽  
Bee Colony ◽  
Hinge Plate

Hinge joint damage is a typical form of damage occurring in simply supported slab bridges, which can present adverse effects on the overall force distribution of the structure. However, damage identification methods of hinge joint damage are still limited. In this study, a damage identification algorithm for simply supported hinged-slab bridges based on the modified hinge plate method (MHPM) and artificial bee colony (ABC) algorithms was proposed by considering the effect of hinge damage conditions on the lateral load distribution (LLD) of structures. Firstly, MHPM was proposed and demonstrated, which is based on a traditional hinge plate method by introducing relative displacement as a damage factor to simulate hinge joint damage. The effectiveness of MHPM was verified through comparison with the finite element method (FEM). Secondly, damage identification was treated as the inverse problem of calculating the LLD in damage conditions of simply supported slab bridges. Four ABC algorithms were chosen to solve the problem due to its simple structure, ease of implementation, and robustness. Comparisons of convergence speed and identification accuracy with genetic algorithm and particle swarm optimization were also conducted. Finally, hinged bridges composed of four and seven slabs were studied as numerical examples to account for the feasibility and correctness of the proposed method. The simulation results revealed that the proposed algorithm could identify the location and degree of damaged joints efficiently and precisely.

Anti-carbamylated Protein Antibodies and Serum Level of 14-3-3 Protein for Early Detection of Rheumatoid Arthritis Patient in Correlation with Rheumatoid Factor, Anti-CCP Antibodies, Disease Activity and Joint Damage using High Frequency Musculoskeletal Ultrasound

2020 ◽  
Vol 7 (2) ◽  
pp. 141-153
Author(s):  
Sahar A. Ahmed ◽  
Enas M. Darwish ◽  
Walaa A. Attya ◽  
Mai Samir ◽  
Mennatallah Elsayed ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Disease Activity ◽  
Rheumatoid Factor ◽  
Disease Activity Score ◽  
Joint Damage ◽  
Musculoskeletal Ultrasound ◽  
Activity Score ◽  
Das 28 ◽  
Significant Difference ◽  
Hands And Feet

Background: Rheumatoid arthritis (RA) is a common progressive chronic inflammatory autoimmune disease which affects mostly small joints, causing pain, swelling, deformity, and disability. Although progress has been made in exploring RA nature, still there is a lot to know about the disease pathogenesis, diagnosis, and treatment. Aim of the Work: To investigate the role of serum anti-carbamylated protein antibodies and 14-3-3η in the diagnosis of RA compared to rheumatoid factor (RF), anti-CCP antibodies, and highfrequency musculoskeletal ultrasound used to assess the disease activity and joint damage. Methods: Serum anti-carbamylated protein antibodies and 14-3-3η were measured using ELISA in 61 RA patients and 26 normal controls. RA Disease Activity Score (DAS 28), X-ray and musculoskeletal ultrasound (hands and feet), carotid ultrasound (Intima-Media Thickness IMT) were used in assessing the RA disease. Results: Anti-carbamylated protein antibodies were significantly elevated in RA patients 4.5 (4.1- 8.9 U⁄ml) compared to the control 3.2(1.9- 4.3 U⁄ml) (p< 0.001) but 14-3-3η showed no significant difference. There was a significant positive correlation between anti-carbamylated protein antibodies, 14-3-3η levels and disease activity score assessed by DAS 28, increased IMT measured by carotid duplex, total synovitis and total erosion score were assessed by musculoskeletal ultrasound. There was no correlation between RF and anti-CCP antibodies. Anti-carbamylated protein antibodies were found to have 66.7% sensitivity and 85.2% specificity in RA diagnosis, while 14- 3-3η had 51.9% sensitivity and 72.1% specificity. Conclusion: Anti-carbamylated protein antibodies and 14-3-3η have a high sensitivity and specificity in RA diagnosis and had a correlation with the disease activity and joint damage.

scholarly journals OP0083 DORSAL ROOT GANGLIA INFILTRATING MACROPHAGES MAINTAIN OSTEOARTHRITIS PAIN

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 55.2-56
Author(s):  
R. Raoof ◽  
C. Martin ◽  
H. De Visser ◽  
J. Prado ◽  
S. Versteeg ◽  
...  
Keyword(s):  
Knee Joint ◽  
Dorsal Root Ganglia ◽  
Immune Cells ◽  
Dorsal Root ◽  
Weight Bearing ◽  
Joint Damage ◽  
Osteoarthritis Pain ◽  
Knee Pathology ◽  
Femoral Condyles ◽  
Over Time

Background:Pain is a major debilitating symptom of knee osteoarthritis (OA). However, the extent of joint damage in OA does not correlate well with the severity of pain. The mechanisms that govern OA pain are poorly understood. Immune cells infiltrating nervous tissue may contribute to pain maintenance.Objectives:Here we investigated the role of macrophages in the initiation and maintenance of OA pain.Methods:Knee joint damage was induced by an unilateral injection of mono-iodoacetate (MIA) or after application of a groove at the femoral condyles of rats fed on high fat diet. Pain-like behaviors were followed over time using von Frey test and dynamic weight bearing. Joint damage was assessed by histology. Dorsal root ganglia (DRG) infiltrating immune cells were assessed over time using flow cytometry. To deplete monocytes and macrophages, Lysmcrex Csfr1-Stop-DTR were injected intrathecal or systemically with diptheria toxin (DT).Results:Intraarticular monoiodoacetate injection induced OA and signs of persistent pain, such as mechanical hyperalgesia and deficits in weight bearing. The persisting pain-like behaviors were associated with accumulation of F4/80+macrophages with an M1-like phenotype in the lumbar DRG appearing from 1 week after MIA injection, and that persisted till at least 4 weeks after MIA injection. Macrophages infiltrated DRG were also observed in the rat groove model of OA, 12 weeks after application of a groove at the femoral condyles. Systemic or local depletion of DRG macrophages during established MIA-induced OA completely ablated signs of pain, without affecting MIA-induced knee pathology. Intriguingly when monocytes/macrophages were depleted prior to induction of osteoarthritis, pain-like behaviors still developed, however these pain-like behaviors did not persist over time.In vitro,sensory neurons innervating the affected OA joint programmed macrophages into a M1 phenotype. Local repolarization of M1-like DRG macrophages towards M2 by intrathecal injection of M2 macrophages or anti-inflammatory cytokines resolved persistent OA-induced pain.Conclusion:Overall we show that macrophages infiltrate the DRG after knee damage and acquire a M1-like phenotype and maintain pain independent of the lesions in the knee joint. DRG-infiltrating macrophages are not required for induction of OA pain. Reprogramming M1-like DRG-infiltrating macrophages may represent a potential strategy to treat OA pain.Acknowledgments:This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreements No 814244 and No 642720. Dutch Arthritis SocietyDisclosure of Interests:Ramin Raoof: None declared, Christian Martin: None declared, Huub de Visser: None declared, Judith Prado: None declared, Sabine Versteeg: None declared, Anne Heinemans: None declared, Simon Mastbergen: None declared, Floris Lafeber Shareholder of: Co-founder and shareholder of ArthroSave BV, Niels Eijkelkamp: None declared

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