The Use Of Kirchoff's Current Law (Kcl) And Cut Set Equations In The Analysis Of Bridges And Trusses
Bibliographic record
Abstract
Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 2532 THE USE OF KIRCHOFF’S CURRENT LAW AND CUT-SET EQUATIONS IN THE ANALYSIS OF BRIDGES AND TRUSSES Ravi P. Ramachandran1 and V. Ramachandran2 1. Department of Electrical and Computer Engineering, Rowan University, Glassboro, New Jersey, 08028, U.S.A. 2. Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, CANADA., H3G 1M8. Abstract - The purpose of this paper is to show that the analysis of trusses (and hence that of bridges) can be effectively carried out using the three concepts of Basic Electric Circuit Analysis, namely, the Superposition Theorem, Kirchhoff’s Current Law and the Cut-set method. The curricular effect of this study is the improvement of multidisciplinary engineering education by relating the sophomore courses of Statics and Circuits and putting the courses under one common analysis framework. Introduction In any engineering curriculum, it is common practice to teach Statics and Basic Circuit Analysis in the sophomore year as separate subjects. In the subject of Statics [1], the analysis of bridges and trusses is taught using the two concepts based on equilibrium equations, namely (i) the algebraic sum of moments taken at a point is zero, and (ii) the algebraic sum of the various forces at any joint in each of the vertical and horizontal directions will be equal to zero. In Basic Circuit Analysis [2], the subject matter starts with Kirchoff’s Current Law (KCL). For any network, KCL states that “the vectorial sum of the various currents incident at any node is always equal to zero”. Kirchhoff’s Voltage Law (KVL) is not considered in this paper. In addition, when sinusoidal excitation is considered, such a current can be represented as a phasor. Also, since linear networks are considered, the principle of Superposition holds. The Superposition theorem states that “the total response in a branch is the vectorial sum of the various responses, each response being obtained when only source is considered, with all other independent sources being made equal to zero”. In addition to the above, the cut-set concept is also discussed. The cut-set concept is the generalization of the KCL at a node in that the KCL holds for a surface also [3].
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".