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新歓展示というイベントがあるらしい
なんか手軽に作れて、安く作れて、
すごそうに見えるものを作ろう
新しいことをたくさん勉強しなくても済みそうなネタ
手軽さ
ソフト系で大体事が足りるようなもの
安さ
理論的にちょっと難しそうに見えそうなもの
すごさ
流体はなんか難しそう(小並感)
流体シミュレータの基礎部分は授業でやったことある
画像処理を利用してちょっとコンテンツ性を高める
これなら金もあんまりかからない
SMAC法によって解く
2次元非圧縮性流体におけるNavier – Stokes方程式
及び連続の式
𝜕𝑢
𝜕𝑥
+
𝜕𝑣
𝜕𝑦
= 0
𝜕𝑢
𝜕𝑡
+ 𝑢
𝜕𝑢
𝜕𝑥
+ 𝑣
𝜕𝑢
𝜕𝑦
= −
𝜕𝑝
𝜕𝑥
+
1
𝑅𝑒
𝜕2
𝑢
𝜕𝑥2
+
𝜕2
𝑢
𝜕𝑦2
𝜕𝑣
𝜕𝑡
+ 𝑢
𝜕𝑣
𝜕𝑥
+ 𝑣
𝜕𝑣
𝜕𝑦
= −
𝜕𝑝
𝜕𝑦
+
1
𝑅𝑒
𝜕2
𝑣
𝜕𝑥2
+
𝜕2
𝑣
𝜕𝑦2
1. 𝑢, 𝑣の暫定値𝑢∗
, 𝑣∗
を求める(Burgers方程式)
2. 暫定値𝑢∗
, 𝑣∗
を用いて圧力の修正量𝛿𝑝を求める(Poisson方程式)
3. 𝛿𝑝を現ステップの圧力値に足して次ステップの圧力値とする
4.暫定値𝑢∗
, 𝑣∗
を, 𝛿𝑝を用いて修正する
𝑑𝑦
𝑑𝑥
= 𝑓(𝑥)という微分方程式を数値的に解くには?
差分化
𝑑𝑦
𝑑𝑥
= lim
Δ𝑥→0
𝑦 𝑥+Δ𝑥 −𝑦(𝑥)
Δ𝑥
より, 𝑓 𝑥 ≈
𝑦 𝑥+Δ𝑥 −𝑦(𝑥)
Δ𝑥
と考えれば,
𝑦 𝑥 = 𝑦 𝑥 + Δ𝑥 − 𝑓 𝑥 Δ𝑥で近似的に計算できる.
前進差分
𝑦 𝑥 + Δ𝑥 − 𝑦(𝑥)
Δ𝑥
=
𝑦𝑖+1 − 𝑦𝑖
Δ𝑥
後退差分
𝑦 𝑥 − 𝑦(𝑥 − Δ𝑥)
Δ𝑥
=
𝑦𝑖 − 𝑦𝑖−1
Δ𝑥
前進差分と後退差分の平均→中心差分
𝑦 𝑥 + Δ𝑥 − 𝑦(𝑥 − Δ𝑥)
2Δ𝑥
=
𝑦𝑖+1 − 𝑦𝑖−1
2Δ𝑥
流入境界
𝑢 = 𝑐𝑜𝑛𝑠𝑡.
𝑣 = 𝑐𝑜𝑛𝑠𝑡.
𝑝 = 0
流出境界
𝜕𝑢
𝜕𝑥
= 0
𝜕𝑣
𝜕𝑥
= 0
𝜕𝑝
𝜕𝑥
= 0
物体表面
𝑢 = 0
𝑣 = 0
𝑝は計算しない
物体内部
何も計算しない
外部
物体表面 を分離する必要がある
物体内部
物体の検出
原画像ノイズ処理後
物体の検出 表面と内部の分離
ローパス
フィルタ
2値化
輪郭検出
流速場
渦度
リアルタイムでの処理は実装していない
計算の高速化(並列処理など?)
動く物体に対応した計算法を考える
流体シムの基本は差分法 (ただしいろいろやり方はある)
画像のノイズ除去、2値化、輪郭検出を行った
リアルタイム処理にできたら楽しそう
基本的にはシミュレータを制作したい
・面白そうな対象を数式モデリングしてシミュレーション
・面白そうな対象の制御方法を考えてシミュレーション
など
今ちょっとやりたいのは、
熱拡散方程式
𝜕𝑢
𝜕𝑡
= 𝑐2
𝜕2 𝑢
𝜕𝑥2
を対象とした制御シミュレータをつくりたい

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