{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:VCNPVVXPJPMDSNB6ZVITTNBWNW","short_pith_number":"pith:VCNPVVXP","schema_version":"1.0","canonical_sha256":"a89afad6ef4bd839343ecd5139b4366db497de9787dc7fcb55105d4df5129bf2","source":{"kind":"arxiv","id":"2601.10661","version":2},"attestation_state":"computed","paper":{"title":"Boundary treatment algorithms for meshfree RANS turbulence modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"The nearest-band neighbor method enables stable wall-function enforcement in meshfree simulations of turbulent flows over curved surfaces.","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"J\\\"org Kuhnert, Mohan Padmanabha, Nicolas R. Gauger, Pratik Suchde","submitted_at":"2026-01-15T18:30:30Z","abstract_excerpt":"In this paper, we propose improved wall-treatment strategies for meshfree methods applied to turbulent flows. The goal is to enhance wall-function handling in simulations of high-Reynolds-number turbulent flows and to understand the performance of turbulence models within these frameworks. While wall-function techniques are well established for mesh-based methods, their implementation in meshfree methods faces unique challenges. The main difficulties arise from scattered point distributions and dynamic point movement in Lagrangian frameworks. To address these issues, we evaluate a baseline clo"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":true,"formal_links_present":true},"canonical_record":{"source":{"id":"2601.10661","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.flu-dyn","submitted_at":"2026-01-15T18:30:30Z","cross_cats_sorted":[],"title_canon_sha256":"d3b95c4980ced80233daadda1f87b028859d91f4a1a4cf1e503f55fdfa60773b","abstract_canon_sha256":"668e6b28d75f2ec42bdcf540aa7662e3cbebaa8e2b622fca5e902066e8ae5d78"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:16.641485Z","signature_b64":"RbRcPlOlFOL4lheFZbqMrVD9quWKS4ZoEVSQuBH68t8OLLunGvSoBiOHC4hGerklryqtm3nTHms4Lndw5aWIDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a89afad6ef4bd839343ecd5139b4366db497de9787dc7fcb55105d4df5129bf2","last_reissued_at":"2026-05-17T23:39:16.640731Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:16.640731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Boundary treatment algorithms for meshfree RANS turbulence modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"The nearest-band neighbor method enables stable wall-function enforcement in meshfree simulations of turbulent flows over curved surfaces.","cross_cats":[],"primary_cat":"physics.flu-dyn","authors_text":"J\\\"org Kuhnert, Mohan Padmanabha, Nicolas R. Gauger, Pratik Suchde","submitted_at":"2026-01-15T18:30:30Z","abstract_excerpt":"In this paper, we propose improved wall-treatment strategies for meshfree methods applied to turbulent flows. The goal is to enhance wall-function handling in simulations of high-Reynolds-number turbulent flows and to understand the performance of turbulence models within these frameworks. While wall-function techniques are well established for mesh-based methods, their implementation in meshfree methods faces unique challenges. The main difficulties arise from scattered point distributions and dynamic point movement in Lagrangian frameworks. To address these issues, we evaluate a baseline clo"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"This work establishes the NBN method as a reliable, robust foundation for simulating turbulent flows over practical geometries using meshfree methods.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"The assumption that point distributions and normal vectors remain suitable without excessive clustering or uncorrected shifting effects, especially for the SB method on curved surfaces with adverse pressure gradients.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"New nearest-band neighbor and shifted boundary wall treatments for meshfree RANS turbulence models outperform the baseline closest-neighbor approach on flat plates, with NBN proving more robust on curved airfoils.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"The nearest-band neighbor method enables stable wall-function enforcement in meshfree simulations of turbulent flows over curved surfaces.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"c7249fa1bdaf802cc079f5e7a6e95829655d3c83905a09703cf80a1d3a5afa40"},"source":{"id":"2601.10661","kind":"arxiv","version":2},"verdict":{"id":"8a279479-4ec6-4fed-8721-409a0fec50f9","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-16T13:24:01.976305Z","strongest_claim":"This work establishes the NBN method as a reliable, robust foundation for simulating turbulent flows over practical geometries using meshfree methods.","one_line_summary":"New nearest-band neighbor and shifted boundary wall treatments for meshfree RANS turbulence models outperform the baseline closest-neighbor approach on flat plates, with NBN proving more robust on curved airfoils.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"The assumption that point distributions and normal vectors remain suitable without excessive clustering or uncorrected shifting effects, especially for the SB method on curved surfaces with adverse pressure gradients.","pith_extraction_headline":"The nearest-band neighbor method enables stable wall-function enforcement in meshfree simulations of turbulent flows over curved surfaces."},"references":{"count":57,"sample":[{"doi":"","year":2021,"title":"Smoothed particle hydrodynamics method from a large eddy simulation perspective. Generalization to a quasi-Lagrangian model","work_id":"0034c63c-dd0e-4597-8372-73f02295936e","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2013,"title":"Large eddy simulation and a simple wall model for turbulent flow calculation by a particle method","work_id":"480f8e8c-37db-4284-a509-7af56d2896e9","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2003,"title":"Extensions of the Spalart–Allmaras turbulence model to account for wall roughness","work_id":"f6499206-f91d-4213-a43d-12832e6bb86a","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2023,"title":"Smoothed particle hydrodynamics with k - ϵ closure for simulating wall-bounded turbulent flows at medium and high Reynolds numbers","work_id":"abd359ca-a544-4e19-9c1c-4dd88b782524","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":1996,"title":"Meshless methods: An overview and recent developments","work_id":"ca9cde8f-c7b4-4c38-a48d-edf75a610978","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":57,"snapshot_sha256":"859a00a42737b4863f04a3714a35565cfec14ee06ccc9a827b4317b272e5e06b","internal_anchors":0},"formal_canon":{"evidence_count":1,"snapshot_sha256":"cbe44462b490c15f2e2093f31aace45ce8e32b5e37adb1916c61a183aa3203e6"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2601.10661","created_at":"2026-05-17T23:39:16.640864+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.10661v2","created_at":"2026-05-17T23:39:16.640864+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.10661","created_at":"2026-05-17T23:39:16.640864+00:00"},{"alias_kind":"pith_short_12","alias_value":"VCNPVVXPJPMD","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_16","alias_value":"VCNPVVXPJPMDSNB6","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_8","alias_value":"VCNPVVXP","created_at":"2026-05-18T12:33:37.589309+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":1,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW","json":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW.json","graph_json":"https://pith.science/api/pith-number/VCNPVVXPJPMDSNB6ZVITTNBWNW/graph.json","events_json":"https://pith.science/api/pith-number/VCNPVVXPJPMDSNB6ZVITTNBWNW/events.json","paper":"https://pith.science/paper/VCNPVVXP"},"agent_actions":{"view_html":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW","download_json":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW.json","view_paper":"https://pith.science/paper/VCNPVVXP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.10661&json=true","fetch_graph":"https://pith.science/api/pith-number/VCNPVVXPJPMDSNB6ZVITTNBWNW/graph.json","fetch_events":"https://pith.science/api/pith-number/VCNPVVXPJPMDSNB6ZVITTNBWNW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW/action/storage_attestation","attest_author":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW/action/author_attestation","sign_citation":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW/action/citation_signature","submit_replication":"https://pith.science/pith/VCNPVVXPJPMDSNB6ZVITTNBWNW/action/replication_record"}},"created_at":"2026-05-17T23:39:16.640864+00:00","updated_at":"2026-05-17T23:39:16.640864+00:00"}