Mechanical factors influencing success in root canal obturation

Ghorpade, Ratnakar; Sundaram, Kalyana; Hegde, Vivek

doi:10.1109/i2ct.2017.8226295

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…J. 2023, 11, 133 2 of 15 during a root canal preparation as well as irrigant activation including bacterial decontamination [28,[38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56], for the analysis of the microbial behavior [57,58], for the investigation of obturation [59,60] or as input parameters for stress-strain analyses of teeth [61]. Hülsmann summarized different experimental models for studies on root canal preparation [46].…”

Section: Introductionmentioning

confidence: 99%

Determination of a Representative and 3D-Printable Root Canal Geometry for Endodontic Investigations and Pre-Clinical Endodontic Training—An Ex Vivo Study

et al. 2023

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Models of artificial root canals are used in several fields of endodontic investigations and pre-clinical endodontic training. They allow the physical testing of dental treatments, the operating of instruments used and the interaction between these instruments and the tissues. Currently, a large number of different artificial root canal models exist whose geometry is created either on the basis of selected natural root canal systems or to represent individual geometrical properties. Currently, only a few geometric properties such as the root canal curvature or the endodontic working width are taken into consideration when generating these models. To improve the representational capability of the artificial root canal models, the aim of the current study is therefore to generate an artificial root canal based on the statistical evaluation of selected natural root canals. Here, the approach introduced by Kucher for determining the geometry of a root canal model is used, which is based on the measurement and statistical evaluation of the root canal center line’s curvatures and their cross-sectional dimensions. Using the example of unbranched distal root canals of mandibular molars (n = 29), an artificial root canal model representing the mean length, curvature, torsion and cross-sectional dimensions of these teeth could be derived.

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Section: Introductionmentioning

confidence: 99%

Determination of a Representative and 3D-Printable Root Canal Geometry for Endodontic Investigations and Pre-Clinical Endodontic Training—An Ex Vivo Study

et al. 2023

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“…They are classified into four groups Geometry, Process, Material, and Energy categories shown in Fig. 1 (9). The present study focuses on defining the interaction between operative parameters using Central Composite Rotatable Design (CCRD) with half replicate to enhance filling material compaction (10).…”

Section: Introductionmentioning

confidence: 99%

Integrating push-over analysis and FEMA guidelines for building vulnerability assessment

Soetjipto,

Nurmalia,

Krisnamurti

2023

Res. Eng. Struct. Mat.

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An earthquake has impacted the existing buildings around the area where the earthquake occurred. To maintain the safety of building occupants, it is necessary to evaluate the building's vulnerability. The most frequently used assessment methods are the Rapid Visual Screening (RVS) from FEMA and the push-over. FEMA can assess the exposure of a building quickly through visual observation but cannot provide a structural response. The push-over can explain the structural response seismic capacity and performance, collapse identification, and building strengthening strategies. However, the push-over has weaknesses; the analysis depends on modelling and structural analysis. This study aims to integrate push-over with FEMA to obtain the most appropriate assessment of buildings in earthquake vulnerability. Both assessment models have been applied to mid-rise buildings of flats after the earthquake. The building received a final score of 2.3 in the FEMA screening evaluation, indicating that it is secure. The push-over analysis shows the damage to the structure is Immediate Occupancy, which means only slight damage occurs. Overall, both methods give the same results and can be integrated to develop RVS and push-over assessments mutually when new modes of building failure are identified and as tools to assess fast, precise and accurate structural failure.

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